{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "BrI1FRqzA4Ay",
"outputId": "4ea63f08-de26-4e60-8944-efd6f2573163"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mounted at /content/drive\n"
]
}
],
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "BNZ3jKAYDkGs"
},
"outputs": [],
"source": [
"#loading other packages\n",
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "MOqfX9tvydc1"
},
"outputs": [],
"source": [
"#import the plotly packages\n",
"import plotly.offline as py\n",
"from plotly import tools\n",
"import plotly.graph_objs as go\n",
"import plotly.express as px"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"id": "W_HVqbIsDxsL"
},
"outputs": [],
"source": [
"#Loading the cleaned dataset\n",
"df = pd.read_csv('/content/drive/My Drive/Gitlab/cleaned_data (3).csv')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 499
},
"id": "Y8ltRD6OEBNy",
"outputId": "8c1741c4-a1dc-400f-91a4-26e88f422b12"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Country Name Year \\\n",
"0 Algeria 2007-01-01 \n",
"1 Angola 2007-01-01 \n",
"2 Benin 2007-01-01 \n",
"3 Botswana 2007-01-01 \n",
"4 Burkina Faso 2007-01-01 \n",
"\n",
" Incidence of malaria (per 1,000 population at risk) \\\n",
"0 0.01 \n",
"1 286.72 \n",
"2 480.24 \n",
"3 1.03 \n",
"4 503.80 \n",
"\n",
" Malaria cases reported Malaria death \\\n",
"0 26.0 0 \n",
"1 1533485.0 18237 \n",
"2 0.0 12034 \n",
"3 390.0 3 \n",
"4 44246.0 31272 \n",
"\n",
" Use of insecticide-treated bed net in total population \\\n",
"0 4.7625 \n",
"1 18.0000 \n",
"2 2.8125 \n",
"3 21.6500 \n",
"4 24.9200 \n",
"\n",
" Children with fever receiving antimalarial drugs (% of children under age 5 with fever) \\\n",
"0 4.9125 \n",
"1 29.8000 \n",
"2 18.6750 \n",
"3 73.8625 \n",
"4 67.0625 \n",
"\n",
" Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) \\\n",
"0 19.163636 \n",
"1 1.500000 \n",
"2 15.000000 \n",
"3 8.600000 \n",
"4 7.000000 \n",
"\n",
" Total Population Rural Population ... \\\n",
"0 33983827.0 11776076.0 ... \n",
"1 20909684.0 8881597.0 ... \n",
"2 8647761.0 5053924.0 ... \n",
"3 1966977.0 827547.0 ... \n",
"4 14757074.0 11363537.0 ... \n",
"\n",
" People using at least basic drinking water services, urban (% of urban population) \\\n",
"0 94.78 \n",
"1 65.83 \n",
"2 76.24 \n",
"3 94.35 \n",
"4 76.15 \n",
"\n",
" People using at least basic sanitation services (% of population) \\\n",
"0 85.85 \n",
"1 37.26 \n",
"2 11.80 \n",
"3 61.60 \n",
"4 15.60 \n",
"\n",
" People using at least basic sanitation services, rural (% of rural population) \\\n",
"0 76.94 \n",
"1 14.00 \n",
"2 4.29 \n",
"3 39.99 \n",
"4 6.38 \n",
"\n",
" People using at least basic sanitation services, urban (% of urban population) \\\n",
"0 90.57 \n",
"1 54.44 \n",
"2 22.36 \n",
"3 77.30 \n",
"4 46.49 \n",
"\n",
" latitude longitude geometry \\\n",
"0 28.033886 1.659626 POINT (28.033886 1.659626) \n",
"1 -11.202692 17.873887 POINT (-11.202692 17.873887) \n",
"2 9.307690 2.315834 POINT (9.307689999999999 2.315834) \n",
"3 -22.328474 24.684866 POINT (-22.328474 24.684866) \n",
"4 12.238333 -1.561593 POINT (12.238333 -1.561593) \n",
"\n",
" Total Malaria Cases Mortality Rate Prevalence Rate \n",
"0 3.398383e+02 0.000000 7.650698e-07 \n",
"1 5.995225e+06 0.000872 7.333851e-02 \n",
"2 4.153001e+06 0.001392 0.000000e+00 \n",
"3 2.025986e+03 0.000002 1.982738e-04 \n",
"4 7.434614e+06 0.002119 2.998291e-03 \n",
"\n",
"[5 rows x 27 columns]"
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"\n",
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\n",
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Country Name
\n",
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Year
\n",
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Incidence of malaria (per 1,000 population at risk)
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Malaria cases reported
\n",
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Malaria death
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Use of insecticide-treated bed net in total population
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Prevalence Rate
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0
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Algeria
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2007-01-01
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0.01
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26.0
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0
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4.7625
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4.9125
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19.163636
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33983827.0
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11776076.0
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...
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94.78
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1
\n",
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Angola
\n",
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2007-01-01
\n",
"
286.72
\n",
"
1533485.0
\n",
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18237
\n",
"
18.0000
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29.8000
\n",
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1.500000
\n",
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20909684.0
\n",
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8881597.0
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...
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65.83
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37.26
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14.00
\n",
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54.44
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-11.202692
\n",
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17.873887
\n",
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POINT (-11.202692 17.873887)
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5.995225e+06
\n",
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0.000872
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7.333851e-02
\n",
"
\n",
"
\n",
"
2
\n",
"
Benin
\n",
"
2007-01-01
\n",
"
480.24
\n",
"
0.0
\n",
"
12034
\n",
"
2.8125
\n",
"
18.6750
\n",
"
15.000000
\n",
"
8647761.0
\n",
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5053924.0
\n",
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...
\n",
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76.24
\n",
"
11.80
\n",
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4.29
\n",
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22.36
\n",
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9.307690
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2.315834
\n",
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POINT (9.307689999999999 2.315834)
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4.153001e+06
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0.001392
\n",
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0.000000e+00
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3
\n",
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Botswana
\n",
"
2007-01-01
\n",
"
1.03
\n",
"
390.0
\n",
"
3
\n",
"
21.6500
\n",
"
73.8625
\n",
"
8.600000
\n",
"
1966977.0
\n",
"
827547.0
\n",
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...
\n",
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94.35
\n",
"
61.60
\n",
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39.99
\n",
"
77.30
\n",
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-22.328474
\n",
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24.684866
\n",
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POINT (-22.328474 24.684866)
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2.025986e+03
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0.000002
\n",
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1.982738e-04
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\n",
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4
\n",
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Burkina Faso
\n",
"
2007-01-01
\n",
"
503.80
\n",
"
44246.0
\n",
"
31272
\n",
"
24.9200
\n",
"
67.0625
\n",
"
7.000000
\n",
"
14757074.0
\n",
"
11363537.0
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...
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76.15
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15.60
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6.38
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46.49
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12.238333
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7.434614e+06
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5 rows × 27 columns
\n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
"\n",
" \n",
"\n",
" \n",
"
\n",
"\n",
"\n",
"
\n",
" \n",
"\n",
"\n",
"\n",
" \n",
"
\n",
"
\n",
"
\n"
]
},
"metadata": {},
"execution_count": 5
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "kTXadM8ocO_z",
"outputId": "659c484b-76b5-4136-86e6-871a6ceeb7ed"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name', 'Year',\n",
" 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'geometry', 'Total Malaria Cases',\n",
" 'Mortality Rate', 'Prevalence Rate'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 6
}
],
"source": [
"df.columns"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DzW5YdIwvrt3",
"outputId": "a27f3820-3945-4db6-de86-281c222fa1c6"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Country Name 0\n",
"Year 0\n",
"Incidence of malaria (per 1,000 population at risk) 0\n",
"Malaria cases reported 0\n",
"Malaria death 0\n",
"Use of insecticide-treated bed net in total population 0\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) 0\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) 0\n",
"Total Population 0\n",
"Rural Population 0\n",
"Urban Population 0\n",
"Rural population (% of total population) 0\n",
"Rural population growth (annual %) 0\n",
"Urban population (% of total population) 0\n",
"Urban population growth (annual %) 0\n",
"People using at least basic drinking water services (% of population) 0\n",
"People using at least basic drinking water services, rural (% of rural population) 0\n",
"People using at least basic drinking water services, urban (% of urban population) 0\n",
"People using at least basic sanitation services (% of population) 0\n",
"People using at least basic sanitation services, rural (% of rural population) 0\n",
"People using at least basic sanitation services, urban (% of urban population) 0\n",
"latitude 0\n",
"longitude 0\n",
"geometry 0\n",
"Total Malaria Cases 0\n",
"Mortality Rate 0\n",
"Prevalence Rate 0\n",
"dtype: int64"
]
},
"metadata": {},
"execution_count": 7
}
],
"source": [
"df.isnull().sum()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WcIEADE59Kec"
},
"source": [
"# **Research objectives**\n",
"* To assess the intricate interplay of population dynamics and malaria incidence rates, to discern the potential of incorporating population data as a predictive feature to amplify model generalization and predictive accuracy.\n",
"* To study the interaction amongst malaria preventive measures and identify complimentary and region-specific measures\n",
"* To determine the impact of additional preventive measure (vaccination) on malaria incidence rates.\n",
"* To create an improved malaria prediction model by engineering new features using our findings, introducing incidence rate thresholds and considering other modeling options based on research findings.\n",
"\n",
"##### We will take this one after the other"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XehiqqCt9rBL"
},
"source": [
"1. To assess the intricate interplay of population dynamics and malaria incidence rates, to discern the potential of incorporating population data as a predictive feature to amplify model generalization and predictive accuracy.\n",
"\n",
"As part of our methodology, we will be performing some statistical analysis, spatial analysis on malaria incidence. We will identify hotspot areas and coldspot areas. We will consider population derived formulas to engineer new features such as **Mortality rate** and **total malaria cases** in the total populations as well as in subpopulations such as Urban and Rural Population etc"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"id": "6gPhnVsT-iqp"
},
"outputs": [],
"source": [
"working_df = df.copy()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "sFQIb9-w-oDU",
"outputId": "b883e90f-a1ed-462f-c596-a12891e5164f"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name', 'Year',\n",
" 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'geometry', 'Total Malaria Cases',\n",
" 'Mortality Rate', 'Prevalence Rate'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 9
}
],
"source": [
"working_df.columns"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"id": "ltKa6E10HMVy"
},
"outputs": [],
"source": [
"\n",
"from osgeo import ogr\n",
"\n",
"shapefile_path = \"/content/drive/My Drive/Gitlab/Africa.shp\"\n",
"driver = ogr.GetDriverByName(\"ESRI Shapefile\")\n",
"dataSource = driver.Open(shapefile_path, 0) # 0 means read-only\n",
"\n",
"if dataSource is None:\n",
" print(\"Could not open the file\")\n",
"else:\n",
" layer = dataSource.GetLayer()\n",
" # Now you can work with the layer and its features\n",
" dataSource = None # Close the shapefile when done"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "SbYHQI-0NYWq"
},
"source": [
"Loading shape file"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "oHxPS3s2UOnz",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 447
},
"outputId": "3469d050-57b1-4739-fe45-e53e1ab59371"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
""
]
},
"metadata": {},
"execution_count": 11
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"
Make this Notebook Trusted to load map: File -> Trust Notebook
"
]
},
"metadata": {},
"execution_count": 23
}
],
"source": [
"#creating an interactive map to show us the incidence rates across the years\n",
"import folium\n",
"from branca.colormap import LinearColormap\n",
"# Create an interactive map using sorted_merged_gdf\n",
"m = folium.Map(location=[0, 0], zoom_start=2)\n",
"\n",
"# Define a color scale for incidence rates\n",
"color_scale = LinearColormap(['green', 'yellow', 'red'], vmin=0, vmax=100)\n",
"\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" # Create a feature group for each year\n",
" year_group = folium.FeatureGroup(name=str(year))\n",
"\n",
" for idx, row in sorted_merged_gdf[sorted_merged_gdf['Year'] == year].iterrows():\n",
" popup_html = f\"Country: {row['Country Name_right']} Year: {row['Year']} Incidence: {row['Incidence of malaria (per 1,000 population at risk)']}\"\n",
" color = color_scale(row['Incidence of malaria (per 1,000 population at risk)'])\n",
" folium.CircleMarker(\n",
" location=[row['latitude'], row['longitude']],\n",
" radius=5,\n",
" color=color,\n",
" fill=True,\n",
" fill_color=color,\n",
" fill_opacity=0.7,\n",
" popup=folium.Popup(html=popup_html),\n",
" ).add_to(year_group)\n",
"\n",
" # Add the feature group to the map\n",
" year_group.add_to(m)\n",
"\n",
"# Add the color scale to the map\n",
"color_scale.caption = 'Incidence Rate'\n",
"m.add_child(color_scale)\n",
"\n",
"# Add a layer control to the map\n",
"folium.LayerControl().add_to(m)\n",
"\n",
"# Save the interactive map to an HTML file\n",
"m.save('interactive_map.html')\n",
"\n",
"# Display the map in the notebook\n",
"m"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 908
},
"id": "r8ZrFVy1tvUh",
"outputId": "c2a93a99-a4b1-4da4-8ec2-70b926460135"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"#Let us\n",
"# Plot malaria incidence over the years for each country\n",
"plt.figure(figsize=(10, 6))\n",
"for country, data in sorted_merged_gdf.groupby('Country Name_right'):\n",
" plt.plot(data['Year'], data['Incidence of malaria (per 1,000 population at risk)'], label=country)\n",
"\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Malaria Incidence')\n",
"plt.title('Malaria Incidence Over Years by Country')\n",
"plt.legend()\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "B6maSZAgpGnw",
"outputId": "678efbbc-381e-48b4-9ed4-ff7a15bf8a1c"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
":14: UserWarning:\n",
"\n",
"Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all axes decorations.\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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},
"metadata": {}
}
],
"source": [
"#Clustermap representation for better insights\n",
"# Convert 'Year' column to datetime format\n",
"sorted_merged_gdf['Year'] = pd.to_datetime(sorted_merged_gdf['Year'])\n",
"\n",
"# Pivot the data for clustermap\n",
"clustermap_data = sorted_merged_gdf.pivot(index='Country Name_right', columns='Year', values='Incidence of malaria (per 1,000 population at risk)')\n",
"\n",
"# Create a clustermap\n",
"plt.figure(figsize=(15, 8))\n",
"sns.clustermap(clustermap_data, cmap='YlOrRd', cbar_kws={'label': 'Incidence Rate'}, figsize=(12, 8))\n",
"plt.title('Clustered Incidence Rates of Malaria Across Countries and Years')\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Country')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5Aburb7E6x-S"
},
"source": [
"This clustermap gives better insight into countries that are high risk and share similar malaria incidence rates. These countries include Benin, Burkina Faso, Nigeria, Mozambique, Niger, Liberia, and Central African Republic"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "lOLnkxWQWdQx"
},
"source": [
"# Reconfirmation of high risk zones, medium risk zones and low risk zones using classification approach"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uTiAzyjPOvbt",
"outputId": "7a77d8d8-e9cc-4bc4-cce1-5701e556a2fd"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Year: 2007-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Cameroon', 'Central African Republic', 'Equatorial Guinea', 'Mozambique', 'Niger', 'Nigeria', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Chad', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Rwanda', 'Senegal', 'Seychelles', 'Sierra Leone', 'Somalia', 'South Sudan', 'Sudan', 'Uganda', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Madagascar', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'South Africa']\n",
"--------------------\n",
"Year: 2008-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Liberia', 'Mozambique', 'Niger', 'Nigeria', 'Sierra Leone', 'Uganda']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'Seychelles', 'Somalia', 'South Sudan', 'Togo', 'Tunisia', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Madagascar', 'Morocco', 'Namibia', 'South Africa', 'Sudan']\n",
"--------------------\n",
"Year: 2009-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Guinea', 'Liberia', 'Mozambique', 'Niger', 'Nigeria', 'Sierra Leone', 'Uganda']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Madagascar', 'Rwanda', 'Senegal', 'Seychelles', 'Somalia', 'South Sudan', 'Togo', 'Tunisia', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'South Africa', 'Sudan']\n",
"--------------------\n",
"Year: 2010-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Ghana', 'Guinea', 'Mozambique', 'Niger', 'Nigeria', 'Sierra Leone', 'Uganda']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar', 'Rwanda', 'Senegal', 'Seychelles', 'South Sudan', 'Sudan', 'Togo', 'Tunisia', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'Somalia', 'South Africa']\n",
"--------------------\n",
"Year: 2011-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Ghana', 'Guinea', 'Mozambique', 'Niger', 'Nigeria', 'Sierra Leone', 'Uganda']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'Seychelles', 'South Sudan', 'Togo', 'Tunisia', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Somalia', 'South Africa', 'Sudan']\n",
"--------------------\n",
"Year: 2012-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Equatorial Guinea', 'Ghana', 'Guinea', 'Mozambique', 'Niger', 'Sierra Leone']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Gabon', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar', 'Nigeria', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'Seychelles', 'South Sudan', 'Togo', 'Tunisia', 'Uganda', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Somalia', 'South Africa', 'Sudan']\n",
"--------------------\n",
"Year: 2013-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Equatorial Guinea', 'Guinea', 'Mozambique', 'Niger', 'Sierra Leone', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Gabon', 'Ghana', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar', 'Nigeria', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'Seychelles', 'South Sudan', 'Uganda', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Somalia', 'South Africa', 'Sudan']\n",
"--------------------\n",
"Year: 2014-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Equatorial Guinea', 'Guinea', 'Mozambique', 'Niger', 'Sierra Leone', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Gabon', 'Ghana', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Liberia', 'Madagascar', 'Nigeria', 'Rwanda', 'Senegal', 'Seychelles', 'South Sudan', 'Sudan', 'Uganda', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'Somalia', 'South Africa']\n",
"--------------------\n",
"Year: 2015-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Guinea', 'Liberia', 'Mozambique', 'Niger', 'Sierra Leone', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Madagascar', 'Nigeria', 'Rwanda', 'Senegal', 'Seychelles', 'Somalia', 'South Sudan', 'Uganda', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'South Africa', 'Sudan']\n",
"--------------------\n",
"Year: 2016-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Guinea', 'Liberia', 'Mozambique', 'Niger', 'Rwanda', 'Sierra Leone']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Madagascar', 'Nigeria', 'Senegal', 'Seychelles', 'South Sudan', 'Sudan', 'Togo', 'Tunisia', 'Uganda', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'Somalia', 'South Africa']\n",
"--------------------\n",
"Year: 2017-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Central African Republic', 'Guinea', 'Liberia', 'Mozambique', 'Niger', 'Rwanda', 'Sierra Leone', 'Uganda']\n",
"Medium Incidence Countries: ['Angola', 'Burundi', 'Cameroon', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Madagascar', 'Namibia', 'Nigeria', 'Senegal', 'Seychelles', 'South Sudan', 'Sudan', 'Togo', 'Tunisia', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Sao Tome and Principe', 'Somalia', 'South Africa']\n",
"--------------------\n",
"Common High Incidence Countries: {'Niger', 'Mozambique', 'Central African Republic', 'Burkina Faso', 'Benin'}\n",
"Common Medium Incidence Countries: {'Zimbabwe', 'Guinea-Bissau', 'Angola', 'Seychelles', 'Zambia', 'Lesotho', 'Senegal', 'Kenya', 'Gabon', 'Chad', 'South Sudan', 'Burundi'}\n",
"Common Low Incidence Countries: {'Botswana', 'Djibouti', 'Eswatini', 'South Africa', 'Morocco', 'Libya', 'Algeria'}\n"
]
}
],
"source": [
"# Classifying common countries in all years into classification groups based on the incidence rate\n",
"classifications = {}\n",
"\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" # Calculate percentiles for the current year\n",
" percentiles_values = sorted_merged_gdf[sorted_merged_gdf['Year'] == year]['Incidence of malaria (per 1,000 population at risk)'].quantile(percentiles)\n",
"\n",
" year_classifications = {}\n",
" for idx, row in sorted_merged_gdf[sorted_merged_gdf['Year'] == year].iterrows():\n",
" # Classify countries based on percentiles\n",
" if row['Incidence of malaria (per 1,000 population at risk)'] < percentiles_values.iloc[0]:\n",
" category = 'Low'\n",
" elif row['Incidence of malaria (per 1,000 population at risk)'] > percentiles_values.iloc[1]:\n",
" category = 'High'\n",
" else:\n",
" category = 'Medium'\n",
"\n",
" year_classifications[row['Country Name_right']] = category\n",
"\n",
" # Convert the year to a string before using it as a key\n",
" year_str = str(year)\n",
" classifications[year_str] = year_classifications\n",
"\n",
"# Create dictionaries to store countries in different categories across years\n",
"high_countries = {}\n",
"medium_countries = {}\n",
"low_countries = {}\n",
"\n",
"for year, year_classifications in classifications.items():\n",
" high_countries[year] = [country for country, category in year_classifications.items() if category == 'High']\n",
" medium_countries[year] = [country for country, category in year_classifications.items() if category == 'Medium']\n",
" low_countries[year] = [country for country, category in year_classifications.items() if category == 'Low']\n",
"\n",
"# Print the sorted countries for each category and year\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" print(f\"Year: {year}\")\n",
" print(\"High Incidence Countries:\", high_countries[str(year)])\n",
" print(\"Medium Incidence Countries:\", medium_countries[str(year)])\n",
" print(\"Low Incidence Countries:\", low_countries[str(year)])\n",
" print(\"-\" * 20)\n",
"# Create sets to store countries in different categories across years\n",
"high_countries_set = set()\n",
"medium_countries_set = set()\n",
"low_countries_set = set()\n",
"\n",
"for year, year_classifications in classifications.items():\n",
" high_countries_set.update(high_countries[year])\n",
" medium_countries_set.update(medium_countries[year])\n",
" low_countries_set.update(low_countries[year])\n",
"\n",
"# Find the common countries in each subgroup\n",
"common_high_countries = high_countries_set.intersection(*high_countries.values())\n",
"common_medium_countries = medium_countries_set.intersection(*medium_countries.values())\n",
"common_low_countries = low_countries_set.intersection(*low_countries.values())\n",
"\n",
"# Print the common countries in each subgroup\n",
"print(\"Common High Incidence Countries:\", common_high_countries)\n",
"print(\"Common Medium Incidence Countries:\", common_medium_countries)\n",
"print(\"Common Low Incidence Countries:\", common_low_countries)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 753
},
"id": "hslxeQs-YKhI",
"outputId": "73b15bb8-cb7f-4b49-f9b1-0e59191ac52e"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
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\n"
},
"metadata": {}
}
],
"source": [
"# Let us have a regional comparison based on the average malaria incidence rate by country\n",
"region_mortality = sorted_merged_gdf.groupby('Country Name_right')['Incidence of malaria (per 1,000 population at risk)'].mean()\n",
"region_mortality.plot(kind='bar', figsize=(20, 10))\n",
"plt.title('Average Malaria Incidence Rate by Country')\n",
"plt.xlabel('Countries')\n",
"plt.ylabel('Average Incidence Rate')\n",
"plt.xticks(rotation=45)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0YkkU-gCePJP",
"outputId": "53b2c6ea-7623-4dc0-a2aa-620007c68680"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name_left', 'geometry', 'index_right', 'Country Name_right',\n",
" 'Year', 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'Total Malaria Cases', 'Mortality Rate',\n",
" 'Prevalence Rate'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 34
}
],
"source": [
"sorted_merged_gdf.columns"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "tIWTyXtOPzgb"
},
"source": [
"Let us consider the effect of subpopulations (rural and urban population) on the Incidence rates"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 607
},
"id": "kjv8vb8zYf77",
"outputId": "2bd5c9a3-d221-4710-e1f5-e663ef54606d"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"# Calculate incidence rates for rural and urban populations\n",
"sorted_merged_gdf['Incidence Rate Urban'] = sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)'] / sorted_merged_gdf['Urban population (% of total population)']\n",
"sorted_merged_gdf['Incidence Rate Rural'] = sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)'] / sorted_merged_gdf['Rural population (% of total population)']\n",
"\n",
"# Create a box plot to compare incidence rates\n",
"plt.figure(figsize=(10, 6))\n",
"box_plot = plt.boxplot([sorted_merged_gdf['Incidence Rate Urban'], sorted_merged_gdf['Incidence Rate Rural']],\n",
" vert=False, labels=['Urban', 'Rural'], patch_artist=True)\n",
"\n",
"# Add a title and axis labels\n",
"plt.title('Comparison of Incidence Rates in Urban and Rural Areas')\n",
"plt.xlabel('Subpopulation')\n",
"plt.ylabel('Incidence Rate (per 1000)')\n",
"\n",
"# Show the plot\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "eneT_lWqP_xX"
},
"source": [
"It is observed that there are more malaria incidence in the urban area than in rural areas"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6CcFd5YDqfWe"
},
"source": [
"# Now that we have a base idea of the effect of malaria incidence rate. Let us consider the effect of population and subpopulations on factors influencing malaria incidence rate such as mortality rate, case fatality, prevalence rates...\n",
"\n",
"In this session we will be engineering new features to help in giving us a better understanding of countries that are high risk, low / medium\n",
"\n",
"#Engineering new feature - Standardized Incidence Rate to accommodate for the new population dataset.\n",
"\n",
"\n",
"Standardized incidence rate is given by = number of new cases / Total Population at risk * 1000"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"id": "ZvRxjMBskLHb"
},
"outputs": [],
"source": [
"#Let us standardized our incidence rate based on the new population datasets we added\n",
"incidence_rate = sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)']\n",
"total_population = sorted_merged_gdf['Total Population']\n",
"no_of_cases = sorted_merged_gdf['Malaria cases reported']\n",
"expected_cases = sorted_merged_gdf['Total Malaria Cases']\n",
"sorted_merged_gdf['Standardized Incidence Rate'] = no_of_cases / total_population * 1000"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 742
},
"id": "qbAhhcE-qpOl",
"outputId": "15ec5a9e-c112-4b1c-a4d1-30a23d6b2701"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Country Name_left geometry \\\n",
"0 ALGERIA POLYGON ((-3.55328 31.06993, -3.55351 31.07054... \n",
"1 ANGOLA POLYGON ((11.75945 -17.25426, 11.75837 -17.254... \n",
"2 BENIN POLYGON ((2.84088 12.40599, 2.84306 12.40454, ... \n",
"3 BOTSWANA POLYGON ((25.16312 -17.77816, 25.16383 -17.778... \n",
"4 BURKINA FASO POLYGON ((-0.39571 15.01753, -0.38517 15.00288... \n",
"\n",
" index_right Country Name_right Year \\\n",
"0 0 Algeria 2007-01-01 \n",
"1 1 Angola 2007-01-01 \n",
"2 2 Benin 2007-01-01 \n",
"3 3 Botswana 2007-01-01 \n",
"4 4 Burkina Faso 2007-01-01 \n",
"\n",
" Incidence of malaria (per 1,000 population at risk) \\\n",
"0 0.01 \n",
"1 286.72 \n",
"2 480.24 \n",
"3 1.03 \n",
"4 503.80 \n",
"\n",
" Malaria cases reported Malaria death \\\n",
"0 26.0 0 \n",
"1 1533485.0 18237 \n",
"2 0.0 12034 \n",
"3 390.0 3 \n",
"4 44246.0 31272 \n",
"\n",
" Use of insecticide-treated bed net in total population \\\n",
"0 4.7625 \n",
"1 18.0000 \n",
"2 2.8125 \n",
"3 21.6500 \n",
"4 24.9200 \n",
"\n",
" Children with fever receiving antimalarial drugs (% of children under age 5 with fever) \\\n",
"0 4.9125 \n",
"1 29.8000 \n",
"2 18.6750 \n",
"3 73.8625 \n",
"4 67.0625 \n",
"\n",
" ... \\\n",
"0 ... \n",
"1 ... \n",
"2 ... \n",
"3 ... \n",
"4 ... \n",
"\n",
" People using at least basic sanitation services, rural (% of rural population) \\\n",
"0 76.94 \n",
"1 14.00 \n",
"2 4.29 \n",
"3 39.99 \n",
"4 6.38 \n",
"\n",
" People using at least basic sanitation services, urban (% of urban population) \\\n",
"0 90.57 \n",
"1 54.44 \n",
"2 22.36 \n",
"3 77.30 \n",
"4 46.49 \n",
"\n",
" latitude longitude Total Malaria Cases Mortality Rate Prevalence Rate \\\n",
"0 28.033886 1.659626 3.398383e+02 0.000000 7.650698e-07 \n",
"1 -11.202692 17.873887 5.995225e+06 0.000872 7.333851e-02 \n",
"2 9.307690 2.315834 4.153001e+06 0.001392 0.000000e+00 \n",
"3 -22.328474 24.684866 2.025986e+03 0.000002 1.982738e-04 \n",
"4 12.238333 -1.561593 7.434614e+06 0.002119 2.998291e-03 \n",
"\n",
" Incidence Rate Urban Incidence Rate Rural Standardized Incidence Rate \n",
"0 0.000153 0.000289 0.000765 \n",
"1 4.984701 6.749529 73.338507 \n",
"2 11.555342 8.217659 0.000000 \n",
"3 0.017780 0.024483 0.198274 \n",
"4 21.904348 6.542857 2.998291 \n",
"\n",
"[5 rows x 32 columns]"
],
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" \n",
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Country Name_left
\n",
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geometry
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index_right
\n",
"
Country Name_right
\n",
"
Year
\n",
"
Incidence of malaria (per 1,000 population at risk)
\n",
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Malaria cases reported
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Malaria death
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Use of insecticide-treated bed net in total population
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Children with fever receiving antimalarial drugs (% of children under age 5 with fever)
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...
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People using at least basic sanitation services, rural (% of rural population)
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People using at least basic sanitation services, urban (% of urban population)
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latitude
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longitude
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Total Malaria Cases
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Mortality Rate
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Prevalence Rate
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Incidence Rate Urban
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Incidence Rate Rural
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Standardized Incidence Rate
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\n",
" \n",
" \n",
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0
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ALGERIA
\n",
"
POLYGON ((-3.55328 31.06993, -3.55351 31.07054...
\n",
"
0
\n",
"
Algeria
\n",
"
2007-01-01
\n",
"
0.01
\n",
"
26.0
\n",
"
0
\n",
"
4.7625
\n",
"
4.9125
\n",
"
...
\n",
"
76.94
\n",
"
90.57
\n",
"
28.033886
\n",
"
1.659626
\n",
"
3.398383e+02
\n",
"
0.000000
\n",
"
7.650698e-07
\n",
"
0.000153
\n",
"
0.000289
\n",
"
0.000765
\n",
"
\n",
"
\n",
"
1
\n",
"
ANGOLA
\n",
"
POLYGON ((11.75945 -17.25426, 11.75837 -17.254...
\n",
"
1
\n",
"
Angola
\n",
"
2007-01-01
\n",
"
286.72
\n",
"
1533485.0
\n",
"
18237
\n",
"
18.0000
\n",
"
29.8000
\n",
"
...
\n",
"
14.00
\n",
"
54.44
\n",
"
-11.202692
\n",
"
17.873887
\n",
"
5.995225e+06
\n",
"
0.000872
\n",
"
7.333851e-02
\n",
"
4.984701
\n",
"
6.749529
\n",
"
73.338507
\n",
"
\n",
"
\n",
"
2
\n",
"
BENIN
\n",
"
POLYGON ((2.84088 12.40599, 2.84306 12.40454, ...
\n",
"
2
\n",
"
Benin
\n",
"
2007-01-01
\n",
"
480.24
\n",
"
0.0
\n",
"
12034
\n",
"
2.8125
\n",
"
18.6750
\n",
"
...
\n",
"
4.29
\n",
"
22.36
\n",
"
9.307690
\n",
"
2.315834
\n",
"
4.153001e+06
\n",
"
0.001392
\n",
"
0.000000e+00
\n",
"
11.555342
\n",
"
8.217659
\n",
"
0.000000
\n",
"
\n",
"
\n",
"
3
\n",
"
BOTSWANA
\n",
"
POLYGON ((25.16312 -17.77816, 25.16383 -17.778...
\n",
"
3
\n",
"
Botswana
\n",
"
2007-01-01
\n",
"
1.03
\n",
"
390.0
\n",
"
3
\n",
"
21.6500
\n",
"
73.8625
\n",
"
...
\n",
"
39.99
\n",
"
77.30
\n",
"
-22.328474
\n",
"
24.684866
\n",
"
2.025986e+03
\n",
"
0.000002
\n",
"
1.982738e-04
\n",
"
0.017780
\n",
"
0.024483
\n",
"
0.198274
\n",
"
\n",
"
\n",
"
4
\n",
"
BURKINA FASO
\n",
"
POLYGON ((-0.39571 15.01753, -0.38517 15.00288...
\n",
"
4
\n",
"
Burkina Faso
\n",
"
2007-01-01
\n",
"
503.80
\n",
"
44246.0
\n",
"
31272
\n",
"
24.9200
\n",
"
67.0625
\n",
"
...
\n",
"
6.38
\n",
"
46.49
\n",
"
12.238333
\n",
"
-1.561593
\n",
"
7.434614e+06
\n",
"
0.002119
\n",
"
2.998291e-03
\n",
"
21.904348
\n",
"
6.542857
\n",
"
2.998291
\n",
"
\n",
" \n",
"
\n",
"
5 rows × 32 columns
\n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
"\n",
" \n",
"\n",
" \n",
"
\n",
"\n",
"\n",
"
\n",
" \n",
"\n",
"\n",
"\n",
" \n",
"
\n",
"
\n",
"
\n"
]
},
"metadata": {},
"execution_count": 37
}
],
"source": [
"sorted_merged_gdf.head()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "4c4uq2Dtn55m",
"outputId": "c3a1f721-c857-40e7-d5cf-12a34a83882b"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Country Name_left 0\n",
"geometry 0\n",
"index_right 0\n",
"Country Name_right 0\n",
"Year 0\n",
"Incidence of malaria (per 1,000 population at risk) 0\n",
"Malaria cases reported 0\n",
"Malaria death 0\n",
"Use of insecticide-treated bed net in total population 0\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) 0\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) 0\n",
"Total Population 0\n",
"Rural Population 0\n",
"Urban Population 0\n",
"Rural population (% of total population) 0\n",
"Rural population growth (annual %) 0\n",
"Urban population (% of total population) 0\n",
"Urban population growth (annual %) 0\n",
"People using at least basic drinking water services (% of population) 0\n",
"People using at least basic drinking water services, rural (% of rural population) 0\n",
"People using at least basic drinking water services, urban (% of urban population) 0\n",
"People using at least basic sanitation services (% of population) 0\n",
"People using at least basic sanitation services, rural (% of rural population) 0\n",
"People using at least basic sanitation services, urban (% of urban population) 0\n",
"latitude 0\n",
"longitude 0\n",
"Total Malaria Cases 0\n",
"Mortality Rate 0\n",
"Prevalence Rate 0\n",
"Incidence Rate Urban 0\n",
"Incidence Rate Rural 0\n",
"Standardized Incidence Rate 0\n",
"dtype: int64"
]
},
"metadata": {},
"execution_count": 38
}
],
"source": [
"sorted_merged_gdf.isnull().sum()\n"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YdSm9BL9xP9-",
"outputId": "ee36ac2e-61ec-4966-f445-b0055ecf594c"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name_left', 'geometry', 'index_right', 'Country Name_right',\n",
" 'Year', 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'Total Malaria Cases', 'Mortality Rate',\n",
" 'Prevalence Rate', 'Incidence Rate Urban', 'Incidence Rate Rural',\n",
" 'Standardized Incidence Rate'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 39
}
],
"source": [
"sorted_merged_gdf.columns"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "3YOlZ7n04HY_"
},
"source": [
"Let us identify countries with high, low and medium incidence rate (standardized incidence rates) across the years"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LbP--9h8--dU",
"outputId": "aaa4a431-4f66-4cbf-f13c-8a308e8d0b86"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Year: 2007-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Angola', 'Burundi', 'Gabon', 'Liberia', 'Rwanda', 'Seychelles', 'Sudan', 'Togo', 'Tunisia', 'Uganda']\n",
"Medium Incidence Countries: ['Algeria', 'Benin', 'Botswana', 'Burkina Faso', 'Cameroon', 'Central African Republic', 'Chad', 'Djibouti', 'Equatorial Guinea', 'Eswatini', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Lesotho', 'Libya', 'Madagascar', 'Morocco', 'Mozambique', 'Namibia', 'Niger', 'Nigeria', 'Sao Tome and Principe', 'Senegal', 'Sierra Leone', 'Somalia', 'South Africa', 'South Sudan', 'Zambia', 'Zimbabwe']\n",
"Low Incidence Countries: []\n",
"--------------------\n",
"Year: 2008-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Angola', 'Burundi', 'Ghana', 'Lesotho', 'Liberia', 'Niger', 'Sao Tome and Principe', 'Seychelles', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Burkina Faso', 'Chad', 'Djibouti', 'Equatorial Guinea', 'Gabon', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Mozambique', 'Namibia', 'Nigeria', 'Rwanda', 'Senegal', 'Sierra Leone', 'Somalia', 'South Sudan', 'Sudan', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Benin', 'Botswana', 'Cameroon', 'Central African Republic', 'Eswatini', 'Libya', 'Morocco', 'South Africa', 'Zambia']\n",
"--------------------\n",
"Year: 2009-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Angola', 'Benin', 'Burundi', 'Ghana', 'Liberia', 'Rwanda', 'Seychelles', 'Sierra Leone', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Botswana', 'Burkina Faso', 'Djibouti', 'Equatorial Guinea', 'Eswatini', 'Gabon', 'Guinea', 'Guinea-Bissau', 'Madagascar', 'Mozambique', 'Namibia', 'Niger', 'Nigeria', 'Sao Tome and Principe', 'Senegal', 'Somalia', 'South Africa', 'Sudan', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Cameroon', 'Central African Republic', 'Chad', 'Kenya', 'Lesotho', 'Libya', 'Morocco', 'South Sudan', 'Zambia']\n",
"--------------------\n",
"Year: 2010-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Angola', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Seychelles', 'Sierra Leone', 'South Sudan', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Botswana', 'Burkina Faso', 'Chad', 'Djibouti', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Niger', 'Nigeria', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'Somalia', 'Sudan', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Benin', 'Cameroon', 'Central African Republic', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'South Africa', 'Zambia']\n",
"--------------------\n",
"Year: 2011-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Angola', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Niger', 'Seychelles', 'Sierra Leone', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Benin', 'Burkina Faso', 'Cameroon', 'Chad', 'Djibouti', 'Equatorial Guinea', 'Eswatini', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Namibia', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'South Sudan', 'Sudan', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Central African Republic', 'Gabon', 'Libya', 'Morocco', 'Nigeria', 'Somalia', 'South Africa', 'Zambia']\n",
"--------------------\n",
"Year: 2012-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Burkina Faso', 'Burundi', 'Ghana', 'Lesotho', 'Liberia', 'Niger', 'Seychelles', 'Sierra Leone', 'Togo', 'Tunisia']\n",
"Medium Incidence Countries: ['Angola', 'Benin', 'Cameroon', 'Central African Republic', 'Djibouti', 'Equatorial Guinea', 'Gabon', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Mozambique', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'Somalia', 'South Sudan', 'Sudan', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Chad', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Nigeria', 'South Africa', 'Zambia']\n",
"--------------------\n",
"Year: 2013-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Benin', 'Burkina Faso', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Niger', 'Seychelles', 'Sierra Leone', 'Togo']\n",
"Medium Incidence Countries: ['Angola', 'Cameroon', 'Central African Republic', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Namibia', 'Rwanda', 'Sao Tome and Principe', 'Senegal', 'South Sudan', 'Sudan', 'Tunisia', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Nigeria', 'Somalia', 'South Africa', 'Zambia']\n",
"--------------------\n",
"Year: 2014-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Burkina Faso', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Rwanda', 'Seychelles', 'Sierra Leone', 'Togo', 'Zambia']\n",
"Medium Incidence Countries: ['Angola', 'Benin', 'Central African Republic', 'Chad', 'Djibouti', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Niger', 'Nigeria', 'Sao Tome and Principe', 'Senegal', 'Sudan', 'Tunisia', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Cameroon', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Somalia', 'South Africa', 'South Sudan']\n",
"--------------------\n",
"Year: 2015-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Burkina Faso', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Rwanda', 'Seychelles', 'Sierra Leone', 'Togo', 'Zambia']\n",
"Medium Incidence Countries: ['Angola', 'Benin', 'Cameroon', 'Central African Republic', 'Chad', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Niger', 'Nigeria', 'Sao Tome and Principe', 'Senegal', 'Sudan', 'Tunisia', 'Uganda', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Somalia', 'South Africa', 'South Sudan']\n",
"--------------------\n",
"Year: 2016-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Burkina Faso', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Rwanda', 'Seychelles', 'Sierra Leone', 'Uganda', 'Zambia']\n",
"Medium Incidence Countries: ['Angola', 'Benin', 'Cameroon', 'Central African Republic', 'Chad', 'Djibouti', 'Equatorial Guinea', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Niger', 'Nigeria', 'Senegal', 'Sudan', 'Togo', 'Tunisia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Eswatini', 'Libya', 'Morocco', 'Namibia', 'Sao Tome and Principe', 'Somalia', 'South Africa', 'South Sudan']\n",
"--------------------\n",
"Year: 2017-01-01T00:00:00.000000000\n",
"High Incidence Countries: ['Burkina Faso', 'Burundi', 'Lesotho', 'Liberia', 'Mozambique', 'Rwanda', 'Seychelles', 'Togo', 'Uganda', 'Zambia']\n",
"Medium Incidence Countries: ['Angola', 'Benin', 'Cameroon', 'Central African Republic', 'Chad', 'Gabon', 'Ghana', 'Guinea', 'Guinea-Bissau', 'Kenya', 'Madagascar', 'Namibia', 'Niger', 'Nigeria', 'Senegal', 'Sierra Leone', 'South Sudan', 'Sudan', 'Tunisia', 'Zimbabwe']\n",
"Low Incidence Countries: ['Algeria', 'Botswana', 'Djibouti', 'Equatorial Guinea', 'Eswatini', 'Libya', 'Morocco', 'Sao Tome and Principe', 'Somalia', 'South Africa']\n",
"--------------------\n",
"Common High Incidence Countries: {'Burundi', 'Liberia', 'Seychelles'}\n",
"Common Medium Incidence Countries: {'Madagascar', 'Zimbabwe', 'Guinea-Bissau', 'Senegal', 'Guinea'}\n",
"Common Low Incidence Countries: set()\n"
]
}
],
"source": [
"# Classifying each countries based on their incidence rates into groups\n",
"classifications = {}\n",
"\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" # Calculate percentiles for the current year\n",
" percentiles_values = sorted_merged_gdf[sorted_merged_gdf['Year'] == year]['Standardized Incidence Rate'].quantile(percentiles)\n",
"\n",
" year_classifications = {}\n",
" for idx, row in sorted_merged_gdf[sorted_merged_gdf['Year'] == year].iterrows():\n",
" # Classify countries based on percentiles\n",
" if row['Standardized Incidence Rate'] < percentiles_values.iloc[0]:\n",
" category = 'Low'\n",
" elif row['Standardized Incidence Rate'] > percentiles_values.iloc[1]:\n",
" category = 'High'\n",
" else:\n",
" category = 'Medium'\n",
"\n",
" year_classifications[row['Country Name_right']] = category\n",
"\n",
" # Convert the year to a string before using it as a key\n",
" year_str = str(year)\n",
" classifications[year_str] = year_classifications\n",
"\n",
"# Create dictionaries to store countries in different categories across years\n",
"high_countries = {}\n",
"medium_countries = {}\n",
"low_countries = {}\n",
"\n",
"for year, year_classifications in classifications.items():\n",
" high_countries[year] = [country for country, category in year_classifications.items() if category == 'High']\n",
" medium_countries[year] = [country for country, category in year_classifications.items() if category == 'Medium']\n",
" low_countries[year] = [country for country, category in year_classifications.items() if category == 'Low']\n",
"\n",
"# Print the sorted countries for each category and year\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" print(f\"Year: {year}\")\n",
" print(\"High Incidence Countries:\", high_countries[str(year)])\n",
" print(\"Medium Incidence Countries:\", medium_countries[str(year)])\n",
" print(\"Low Incidence Countries:\", low_countries[str(year)])\n",
" print(\"-\" * 20)\n",
"# Create sets to store countries in different categories across years\n",
"high_countries_set = set()\n",
"medium_countries_set = set()\n",
"low_countries_set = set()\n",
"\n",
"for year, year_classifications in classifications.items():\n",
" high_countries_set.update(high_countries[year])\n",
" medium_countries_set.update(medium_countries[year])\n",
" low_countries_set.update(low_countries[year])\n",
"\n",
"# Find the common countries in each subgroup\n",
"common_high_countries = high_countries_set.intersection(*high_countries.values())\n",
"common_medium_countries = medium_countries_set.intersection(*medium_countries.values())\n",
"common_low_countries = low_countries_set.intersection(*low_countries.values())\n",
"\n",
"# Print the common countries in each subgroup\n",
"print(\"Common High Incidence Countries:\", common_high_countries)\n",
"print(\"Common Medium Incidence Countries:\", common_medium_countries)\n",
"print(\"Common Low Incidence Countries:\", common_low_countries)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Sd11Zpb5Q9of"
},
"source": [
"We can see that from this classification, the result is still consistent with what we have in the previous classification when we havent standardized the incidence rate\n"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 763
},
"id": "_kr5N4QAu7F-",
"outputId": "3c07eddf-6187-46bc-abbe-6e9681b7d995"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
""
],
"text/html": [
"
Make this Notebook Trusted to load map: File -> Trust Notebook
"
]
},
"metadata": {},
"execution_count": 41
}
],
"source": [
"\n",
"#Geospatial analysis\n",
"import folium\n",
"import numpy as np\n",
"from branca.colormap import LinearColormap\n",
"\n",
"# Define the percentiles for classification (as decimals)\n",
"percentiles = [0.25, 0.75]\n",
"\n",
"# Create an interactive map using sorted_merged_gdf\n",
"m = folium.Map(location=[0, 0], zoom_start=2)\n",
"\n",
"# Define a color scale for incidence rates\n",
"color_scale = LinearColormap(['green', 'yellow', 'red'], vmin=0, vmax=100)\n",
"\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" # Create a feature group for each year\n",
" year_group = folium.FeatureGroup(name=str(year))\n",
"\n",
" # Calculate percentiles for the current year\n",
" percentiles_values = sorted_merged_gdf[sorted_merged_gdf['Year'] == year]['Standardized Incidence Rate'].quantile(percentiles)\n",
"\n",
" for idx, row in sorted_merged_gdf[sorted_merged_gdf['Year'] == year].iterrows():\n",
" popup_html = f\"Country: {row['Country Name_right']} Year: {row['Year']} Incidence: {row['Standardized Incidence Rate']}\"\n",
" color = color_scale(row['Standardized Incidence Rate'])\n",
"\n",
" # Classify countries based on percentiles\n",
" if row['Standardized Incidence Rate'] < percentiles_values.iloc[0]:\n",
" category = 'Low'\n",
" elif row['Standardized Incidence Rate'] > percentiles_values.iloc[1]:\n",
" category = 'High'\n",
" else:\n",
" category = 'Medium'\n",
"\n",
" folium.CircleMarker(\n",
" location=[row['latitude'], row['longitude']],\n",
" radius=5,\n",
" color=color,\n",
" fill=True,\n",
" fill_color=color,\n",
" fill_opacity=0.7,\n",
" popup=folium.Popup(html=f\"{popup_html} Category: {category}\"),\n",
" ).add_to(year_group)\n",
"\n",
" # Add the feature group to the map\n",
" year_group.add_to(m)\n",
"\n",
"# Add the color scale to the map\n",
"color_scale.caption = 'Incidence Rate'\n",
"m.add_child(color_scale)\n",
"\n",
"# Add a layer control to the map\n",
"folium.LayerControl().add_to(m)\n",
"\n",
"# Save the interactive map to an HTML file\n",
"m.save('interactive_map_with_classification.html')\n",
"\n",
"# Display the map in the notebook\n",
"m"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 564
},
"id": "awWZrXjD5BxY",
"outputId": "251ace71-c10f-4ebf-985d-ec75fa1fc0ef"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
":31: UserWarning:\n",
"\n",
"Tight layout not applied. tight_layout cannot make axes height small enough to accommodate all axes decorations.\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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},
"metadata": {}
}
],
"source": [
"#Creating a multiple line grid to show the temporal trend of incidence rates across the countries over the years\n",
"import math\n",
"\n",
"# Determine the number of rows and columns for the small multiples grid\n",
"num_countries = len(sorted_merged_gdf['Country Name_right'].unique())\n",
"num_cols = 3 # Set the number of columns\n",
"num_rows = math.ceil(num_countries / num_cols)\n",
"\n",
"# Create a grid of subplots for small multiple line plots\n",
"fig, axes = plt.subplots(num_rows, num_cols, figsize=(50, 18))\n",
"\n",
"# Flatten the axes array for easy iteration\n",
"axes = axes.flatten()\n",
"\n",
"# Iterate through unique countries and create line plots for each\n",
"for i, (country, data) in enumerate(sorted_merged_gdf.groupby('Country Name_right')):\n",
" ax = axes[i]\n",
" ax.plot(data['Year'], data['Standardized Incidence Rate'])\n",
" ax.set_title(country)\n",
" ax.set_xlabel('Year')\n",
" ax.set_ylabel('Malaria Incidence')\n",
" ax.grid(True)\n",
" ax.set_xticks(data['Year'])\n",
" ax.tick_params(axis='x', rotation=45)\n",
"\n",
"# Hide any empty subplots\n",
"for i in range(num_countries, num_cols * num_rows):\n",
" fig.delaxes(axes[i])\n",
"\n",
"# Adjust layout\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "vNGoSKQ_1h4f"
},
"source": [
"High risk zones(high incidence rate) =\n",
"* Burkina Faso 🇧🇫\n",
"* Burundi 🇧🇮\n",
"* Lesotho 🇱🇸\n",
"* Liberia 🇱🇷\n",
"* Mozambique 🇲🇿\n",
"* Rwanda 🇷🇼\n",
"* Seychelles 🇸🇨\n",
"* Togo 🇹🇬 \n",
"* Uganda 🇺🇬 \n",
"* Zambia 🇿🇲\n",
"\n",
"Medium risk zones with medium malaria incidence rate\n",
"* Angola 🇦🇴\n",
"* Benin 🇧🇯 \n",
"* Cameroon 🇨🇲\n",
"* Central African Republic\n",
"* Chad 🇹🇩\n",
"* Gabon 🇬🇦\n",
"* Ghana 🇬🇭\n",
"* Guinea 🇬🇳\n",
"* Guinea-Bissau 🇬🇼\n",
"* Kenya 🇰🇪\n",
"* Madagascar 🇲🇬\n",
"* Namibia 🇳🇦\n",
"* Niger 🇳🇪\n",
"* Nigeria 🇳🇬\n",
"* Senegal 🇸🇳\n",
"* Sierra Leone 🇸🇱\n",
"* South Sudan 🇸🇩 🇸🇸\n",
"* Sudan 🇸🇸\n",
"* Tunisia 🇹🇳\n",
"* Zimbabwe 🇿🇼\n",
"\n",
"Low risk countries (low incidence rate)\n",
"* Algeria 🇩🇿\n",
"* Botswana 🇧🇼\n",
"* Djibouti 🇩🇯\n",
"* Equatorial Guinea 🇬🇶\n",
"* Eswatini\n",
"* Libya 🇱🇾\n",
"* Morocco 🇲🇦\n",
"* Sao Tome and Principle 🇸🇹\n",
"* Somalia 🇸🇴\n",
"* South Africa 🇿🇦"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "mIOI8Q2BCjmv"
},
"source": [
"# Engineering new features - Mortality rate\n",
"* The mortality rate, specifically the mortality rate due to a particular cause (such as malaria), is calculated as follows:\n",
"Mortality Rate (per 1000 population) = (Number of Deaths due to the Cause / Total Population) * 1000\n",
"Where:\n",
"Number of Deaths due to the Cause: This refers to the number of deaths attributed to the specific cause, in this case, malaria.Total Population: This is the total population of the area under consideration.\n",
"From our dataset, new data concerning malaria death have been added"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "uuPDpWLfDt8d",
"outputId": "a448d451-4d7f-4753-df22-b7e5e3f97ecb"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name_left', 'geometry', 'index_right', 'Country Name_right',\n",
" 'Year', 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'Total Malaria Cases', 'Mortality Rate',\n",
" 'Prevalence Rate', 'Incidence Rate Urban', 'Incidence Rate Rural',\n",
" 'Standardized Incidence Rate'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 43
}
],
"source": [
"sorted_merged_gdf.columns"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"id": "GsirIeVJ7pQl"
},
"outputs": [],
"source": [
"malaria_death = sorted_merged_gdf['Malaria death']\n",
"total_population = sorted_merged_gdf['Total Population']\n",
"\n",
"sorted_merged_gdf['Mortality Rate'] = (malaria_death / total_population) * 1000"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 742
},
"id": "W2_1zncfEbZA",
"outputId": "0ee4a8f8-4ac5-4839-99e4-06ebff178923"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Country Name_left geometry \\\n",
"0 ALGERIA POLYGON ((-3.55328 31.06993, -3.55351 31.07054... \n",
"1 ANGOLA POLYGON ((11.75945 -17.25426, 11.75837 -17.254... \n",
"2 BENIN POLYGON ((2.84088 12.40599, 2.84306 12.40454, ... \n",
"3 BOTSWANA POLYGON ((25.16312 -17.77816, 25.16383 -17.778... \n",
"4 BURKINA FASO POLYGON ((-0.39571 15.01753, -0.38517 15.00288... \n",
"\n",
" index_right Country Name_right Year \\\n",
"0 0 Algeria 2007-01-01 \n",
"1 1 Angola 2007-01-01 \n",
"2 2 Benin 2007-01-01 \n",
"3 3 Botswana 2007-01-01 \n",
"4 4 Burkina Faso 2007-01-01 \n",
"\n",
" Incidence of malaria (per 1,000 population at risk) \\\n",
"0 0.01 \n",
"1 286.72 \n",
"2 480.24 \n",
"3 1.03 \n",
"4 503.80 \n",
"\n",
" Malaria cases reported Malaria death \\\n",
"0 26.0 0 \n",
"1 1533485.0 18237 \n",
"2 0.0 12034 \n",
"3 390.0 3 \n",
"4 44246.0 31272 \n",
"\n",
" Use of insecticide-treated bed net in total population \\\n",
"0 4.7625 \n",
"1 18.0000 \n",
"2 2.8125 \n",
"3 21.6500 \n",
"4 24.9200 \n",
"\n",
" Children with fever receiving antimalarial drugs (% of children under age 5 with fever) \\\n",
"0 4.9125 \n",
"1 29.8000 \n",
"2 18.6750 \n",
"3 73.8625 \n",
"4 67.0625 \n",
"\n",
" ... \\\n",
"0 ... \n",
"1 ... \n",
"2 ... \n",
"3 ... \n",
"4 ... \n",
"\n",
" People using at least basic sanitation services, rural (% of rural population) \\\n",
"0 76.94 \n",
"1 14.00 \n",
"2 4.29 \n",
"3 39.99 \n",
"4 6.38 \n",
"\n",
" People using at least basic sanitation services, urban (% of urban population) \\\n",
"0 90.57 \n",
"1 54.44 \n",
"2 22.36 \n",
"3 77.30 \n",
"4 46.49 \n",
"\n",
" latitude longitude Total Malaria Cases Mortality Rate Prevalence Rate \\\n",
"0 28.033886 1.659626 3.398383e+02 0.000000 7.650698e-07 \n",
"1 -11.202692 17.873887 5.995225e+06 0.872180 7.333851e-02 \n",
"2 9.307690 2.315834 4.153001e+06 1.391574 0.000000e+00 \n",
"3 -22.328474 24.684866 2.025986e+03 0.001525 1.982738e-04 \n",
"4 12.238333 -1.561593 7.434614e+06 2.119119 2.998291e-03 \n",
"\n",
" Incidence Rate Urban Incidence Rate Rural Standardized Incidence Rate \n",
"0 0.000153 0.000289 0.000765 \n",
"1 4.984701 6.749529 73.338507 \n",
"2 11.555342 8.217659 0.000000 \n",
"3 0.017780 0.024483 0.198274 \n",
"4 21.904348 6.542857 2.998291 \n",
"\n",
"[5 rows x 32 columns]"
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Year
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Incidence of malaria (per 1,000 population at risk)
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Malaria cases reported
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},
"metadata": {}
}
],
"source": [
"#Temporal trend of mortality rate by country\n",
"# Group data by 'Country' and 'Year', then calculate the mean mortality rate for each country-year pair\n",
"country_yearly_mortality = sorted_merged_gdf.groupby(['Country Name_right', 'Year'])['Mortality Rate'].mean()\n",
"\n",
"# Unstack the data to have 'Country' as columns and 'Year' as index\n",
"country_yearly_mortality = country_yearly_mortality.unstack()\n",
"\n",
"# Plotting\n",
"plt.figure(figsize=(20, 10))\n",
"country_yearly_mortality.plot(ax=plt.gca())\n",
"plt.title('Temporal Trend of Mortality Rate by Country')\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Mortality Rate')\n",
"plt.legend(title='Country', bbox_to_anchor=(1, 1))\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 807
},
"id": "Xr0lqct7KYyn",
"outputId": "0ad23bd5-3894-4153-ee72-20e5433b76f9"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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PS0tLrK2t2bt370e9D8zMzGjZsqXcWi3r16/H3t6eBg0aFKiOAQMGcOjQIf7++2++++47UlNT861VA3DmzBkaNWqEoaEhZmZmWFtbM3bsWIACXVNYWBgHDhzIdz++2vEp7z2pCDc3t3xr2OR9jv+LExMTE5KSkt4ZB7z/PfQ+5G3vXnWc5G3X3oai9klDQ4Pu3buza9cuXrx4AeS60dPTo2PHjh8cr0AgEHzqiDVLBAKBQFBkyMnJwcbGRu4XzjfJ+8Vd2e4gytKleRZkVQVv/tL+ilOnTtGqVSvq1KnDkiVLsLOzQ1tbm5UrV+ZbfFSVsbxaMHPt2rXY2trmy6+lJf9ngTp3X1ElrVq1QldXl969e5Oenk6nTp0+Sr26urpya+C8i3Xr1hEQEECbNm34/vvvsbGxkS2gmXfh1P9Kr1692Lp1K2fPnsXX15fdu3czePDgAsfr7u4u67Bo0aIFmpqajB49mvr161O5cmUgd7HXhg0b4uXlxbx58yhVqhQ6Ojrs27ePX3/9tUALtObk5NC4cWN++OEHhe+/6vT4GHyoEy8vLwIDA3n48GG+jtj/wqtFi/OiqFMKPk67pqh9glw3v/zyC7t27aJr165s2LCBFi1ayDqaBQKB4HNEdJYIBAKBoMjg6urK4cOHqVmzptI/6j8mOTk53L17V+4L2e3btwFkC506Ojpy+PBhkpKS5EaX3Lp1S/b+u9i+fTt6enocPHgQXV1dWfrKlSs/xmUUGFdXVwBsbGxkX4T/K46Ojhw5ckS2gOorQkNDC1xeUd738fsu9PX1adOmDevWraNZs2ZYWVkpjQVyY8872iA0NLTAsSjbqWfbtm24uLiwY8cOuTyTJk0qUL0FPQ/kbptsbW3N+vXr+eKLL3jx4kWBFyhVxLhx4/jzzz8ZP368bIenv//+m/T0dHbv3i036kHRdC5lsbq6upKcnPyf7sc7d+4glUrlzpH3OYYPd9KyZUs2btzIunXrGDNmzFvzvs89ZG5urnAKzX8ZfVKQXaIUUbZsWSpUqMD69etxcHDgwYMH/Pbbbx8ch0AgEBQHxDQcgUAgEBQZOnXqRHZ2NtOmTcv3XlZW1nttR1tQFi1aJPu3VCpl0aJFaGtr07BhQwCaN29Odna2XD6AX3/9FYlEQrNmzd55Dk1NTSQSidwvxhEREezatevjXEQBadKkCSYmJsyYMYPMzMx878fExLx3nc2bNycrK0tuu9js7OwCf9Fq3rw5Fy5c4Ny5c7K0lJQUli1bhpOTk8L1Xz6EUaNGMWnSJCZMmKA0T+XKlbGxseH3338nPT1dlr5//35CQkIKvGuRoaGhwikor0YGvDkS4Pz583LX/j4YGhoqfSa0tLTo2rUrW7ZsYdWqVfj6+lKuXLkPOg/kTmMZOHAgBw8eJCgoCFB8PQkJCQo7AZXF2qlTJ86dO8fBgwfzvRcfH09WVtY7Y3vy5Ak7d+6UvU5MTGTNmjX4+fnJjaD6UCcdOnTA19eX6dOnK/y/SkpKku3y8z73kKurK7du3ZJ77q5evcqZM2feGZMyDA0NAT6orezZsyf//PMP8+fPx9LSskBtm0AgEBRnxMgSgUAgEBQZ6taty8CBA5k5cyZBQUF8+eWXaGtrExYWxtatW1mwYEG+BSb/C3p6ehw4cIDevXvzxRdfsH//fvbu3cvYsWNlU35atmxJ/fr1GTduHBEREZQvX55//vmHv/76i+HDh8tGa7wNf39/5s2bR9OmTenWrRvR0dEsXrwYNzc3rl279tGu512YmJiwdOlSevbsScWKFenSpQvW1tY8ePCAvXv3UrNmzXydQu+iZcuW1KxZk9GjRxMREYG3tzc7duwo8Boco0ePZuPGjTRr1oxvvvkGCwsLVq9ezb1799i+fft7TXN5G+XLl6d8+fJvzaOtrc2sWbPo06cPdevWpWvXrrJtX52cnPJtO6uMSpUqsXnzZkaMGEGVKlUwMjKiZcuWtGjRgh07dtC2bVv8/f25d+8ev//+O97e3iQnJ7/3NVWqVImlS5fy008/4ebmho2Njdxohl69erFw4UKOHTvGrFmz3rv+vHz77bfMnz+fn3/+mU2bNvHll1+io6NDy5YtGThwIMnJyfz555/Y2Njw9OnTAsX6/fffs3v3blq0aEFAQACVKlUiJSWF69evs23bNiIiIpSOBHqFh4cHX331FRcvXqREiRL873//IyoqSmGnzYc40dbWZseOHTRq1Ig6derQqVMnatasiba2Njdu3GDDhg2Ym5szffr097qH+vbty7x582jSpAlfffUV0dHR/P777/j4+JCYmFig2PJSqVIlAL755huaNGmCpqYmXbp0KVDZbt268cMPP7Bz504GDRokt027QCAQfJYU3kY8AoFAIPjcUbbN5bJly6SVKlWS6uvrS42NjaW+vr7SH374QfrkyRNZHkdHR6m/v3++sijYXvbVtpm//PKLLK13795SQ0NDaXh4uPTLL7+UGhgYSEuUKCGdNGmS3Ha1UmnuVrbfffedtGTJklJtbW2pu7u79JdffpHm5OS889yvWLFihdTd3V2qq6sr9fLykq5cuVK2de2bfMytgy9evKiwzLFjx6RNmjSRmpqaSvX09KSurq7SgIAA6aVLl/L5yYuimJ89eybt2bOn1MTERGpqairt2bOnNDAwsEBbB0ulUml4eLi0Q4cOUjMzM6menp60atWq0j179uTL9za/H5I379bBr9i8ebO0QoUKUl1dXamFhYW0e/fu0kePHsnlUeZHKpVKk5OTpd26dZOamZlJAdk2sDk5OdIZM2ZIHR0dpbq6utIKFSpI9+zZk2+r2Ffxv2vr4MjISKm/v7/U2NhYCijc5tXHx0eqoaGRL35lKHpW3iQgIECqqakp2zJ79+7d0nLlykn19PSkTk5O0lmzZkn/97//vVesSUlJ0jFjxkjd3NykOjo6UisrK2mNGjWkc+bMkWZkZLw13lftwMGDB6XlypWTPV95tzj+L05eERcXJ504caLU19dXamBgINXT05OWLVtWOmbMGOnTp0/l8hbkHpJKpdJ169ZJXVxcpDo6OlI/Pz/pwYMHlW4drOj/JO99kpWVJR02bJjU2tpaKpFIZM/qu/5fX9G8efN8W7ILBALB54pEKlXDancCgUAgEBQxAgIC2LZt2wf9oi8QfCpUqFABCwsLjhw5UtihFBmEE+W0bduW69evc+fOncIORSAQCAodsWaJQCAQCAQCQTHk0qVLBAUF0atXr8IOpcggnCjn6dOn7N279z8tBCwQCATFCbFmiUAgEAgEAkExIjg4mMuXLzN37lzs7Ozo3LlzYYdU6Agnyrl37x5nzpxh+fLlaGtrM3DgwMIOSSAQCIoEYmSJQCAQCAQCQTFi27Zt9OnTh8zMTDZu3Iienl5hh1ToCCfKOXHiBD179uTevXusXr1abgchgUAg+JwRa5YIBAKBQCAQCAQCgUAgELyBGFkiEAgEAoFAIBAIBAKBQPAGorNEIBAIBAKBQCAQCAQCgeANRGeJQO0cP34ciURCfHx8sTqXQCAQCAQCgUAgEAiKB6KzRKAyzp07h6amJv7+/oUWQ40aNXj69CmmpqaFFsPHYP369TRo0ABfX186duzItWvX3pp///79NG3aFF9fX1q2bMmJEyfUFKn6EW6UI9woRnhRjnCjHOFGOcKNcoQbxQgvyhFulCPcqBf90l1VenwKiAVeBSqjX79+GBkZsWLFCkJDQylZsiSQO9qjfv36xMXFYWZmprLzZ2Zmoq2trbL6c7mt4vph375T/PDDPKZMGUL58h6sXr2bAwdOc+DA71hamuXLf+VKCD16jGbEiN7Ur1+Fv/8+wfLl29mxYz4eHo4qjzcXD4QbRajHCwg3yvj0vIBw8zaEG8WItkY5wo1yxPOkHOFGOcKNYjzUcA7VouoOjdQHG1Va/8dAjCwRqITk5GQ2b97MoEGD8Pf3Z9WqVW/N/+eff1KqVCkMDAxo27Yt8+bNy9eR8tdff1GxYkX09PRwcXFhypQpZGVlyd6XSCQsXbqUVq1aYWhoyPTp0/NNw3n27Bldu3bF3t4eAwMDfH192bixaD+oK1fuolOnJrRv3wg3t9JMmTIYPT1dtm8/pDD/mjW7qV27Iv36tcPVtRTDh/fA29uVdev2qDly1SPcKEe4UYzwohzhRjnCjXKEG+UIN4oRXpQj3ChHuFE/EomGSo9PgU8jSsEnx5YtW/Dy8sLT05MePXrwv//9D2WDmM6cOcPXX3/Nt99+S1BQEI0bN2b69OlyeU6dOkWvXr349ttvuXnzJn/88QerVq3Kl2/y5Mm0bduW69ev07dv33znSktLo1KlSuzdu5fg4GAGDBhAz549uXDhwse7+I9IRkYmN27coUaN8rI0DQ0NatTwIzAwVGGZoKBbVK/uJ5dWq1YFgoJuqTJUtSPcKEe4UYzwohzhRjnCjXKEG+UIN4oRXpQj3ChHuBEUFqKzRKASVqxYQY8ePQBo2rQpCQkJSucJ/vbbbzRr1oxRo0bh4eHB4MGDadasmVyeKVOmMHr0aHr37o2LiwuNGzdm2rRp/PHHH3L5unXrRp8+fXBxcaF06dL5zmVvb8+oUaPw8/PDxcWFYcOG0bRpU7Zs2fKRrvzjEheXSHZ2DpaW5nLplpZmxMbGKSwTGxuPlZWZgvzxKoqycBBulCPcKEZ4UY5woxzhRjnCjXKEG8UIL8oRbpQj3BQOEjRUenwKaBV2AILiR2hoKBcuXGDnzp0AaGlp0blzZ1asWEG9evUU5m/btq1cWtWqVdmz5/UwuatXr3LmzBm5kSTZ2dmkpaXx4sULDAwMAKhcufJbY8vOzmbGjBls2bKFx48fk5GRQXp6uqy8MtLT00lPT5dL09XVRVf3rcUEAoFAIBAIBAKBQPAJIjpLBB+dFStWkJWVJVvQFUAqlaKrq8uiRYs+qM7k5GSmTJlCu3bt8r2np6cn+7ehoeFb6/nll19YsGAB8+fPx9fXF0NDQ4YPH05GRsZby82cOZMpU6bIpU2aNInJk7u9x1W8P+bmJmhqavDsmXyv+bNn8VhZmSssY2WVv9c8N7+ZiqIsHIQb5Qg3ihFelCPcKEe4UY5woxzhRjHCi3KEG+UIN4XDp7KuiCoRBgQflaysLNasWcPcuXMJCgqSHVevXqVkyZIKF1P19PTk4sWLcml5X1esWJHQ0FDc3NzyHRoaBb+Nz5w5Q+vWrenRowfly5fHxcWF27ffvYL3mDFjSEhIkDvGjBlT4PN+KDo62vj4uHHu3Out0XJycjh37ioVKngqLOPn58W//16VSzt7Ngg/Py+VxqpuhBvlCDeKEV6UI9woR7hRjnCjHOFGMcKLcoQb5Qg3gsJCdJYIPip79uwhLi6Or776irJly8od7du3Z8WKFfnKDBs2jH379jFv3jzCwsL4448/2L9/PxKJRJZn4sSJrFmzhilTpnDjxg1CQkLYtGkT48ePf6/43N3dOXToEGfPniUkJISBAwcSFRX1znK6urqYmJjIHbpqmoPTp08btmw5yM6dRwgPf8jkyUtITU2jXbtGAPzwwzzmzl0ty9+rVytOnbrC//63k/Dwh/z22waCg+/Qo0cLtcSrToQb5Qg3ihFelCPcKEe4UY5woxzhRjHCi3KEG+UIN+pH7IYjpuEIPjIrVqygUaNGmJqa5nuvffv2zJ49m2vXrsml16xZk99//50pU6Ywfvx4mjRpwnfffSc3ZadJkybs2bOHqVOnMmvWLLS1tfHy8qJfv37vFd/48eO5e/cuTZo0wcDAgAEDBtCmTRsSEhI+7ILVQPPmtXn+PIGFC9cTExNHmTIuLF8+RTbs8OnTGDQ0XncsVaxYhjlzRjF//jrmzVuDk1NJFi8ep6Y95dWLcKMc4UYxwotyhBvlCDfKEW6UI9woRnhRjnCjHOFGUBhIpMr2cxUICpH+/ftz69YtTp06VdihvIN3T+H5PPFAuFGE8KIc4UY5wo1yhBvFCC/KEW6UI9woR7hRjnCjGI/CDuA/Y+LSV6X1J979n0rr/xiIkSWCIsGcOXNo3LgxhoaG7N+/n9WrV7NkyZLCDksgEAgEAoFAIBAIBJ8hYmSJoEjQqVMnjh8/TlJSEi4uLgwbNoyvv/76P9cbERGBs7MzgYGB+Pn5/fdABQKBQCAQCAQCgaCYY+LyfssdvC+Jd5ertP6PgRhZIlAp586do1atWjRt2pS9e/cqzbdlyxY1RvXx+CnwsFrOE3rwBDf+PkxqQiLmpe2p2qcTVm5OCvPmZGUT/NdBwk+c50VcPKZ2JajQrTX2fj5qiRVgfIVGbLt3QC3n+nf3KU5tO0pyXCK2Lva0GNyeUp6K56Mu//437l2/ky/do4o3vacNVHWodHBuyrlo5c/Bx+bwjtPs33iMhOdJlHYtSY/hbXHxVj5XNyUple1/7uPyiWukJL3AsoQF3b5pTfnq3iqPtbqNP0HP9qj8PAAHt5/m7/XHiX+ehKNbSfqMaIubd2mFeY/vvcDS6Zvl0rR1tFh3fJY6QgXAz7IFN+LU42b/ttPsWpfrxsmtJP1GtsXdR7Gbo3susOin/G42n1SfGx/zFtxOUI+bvVtPs2PdceKeJeHsXpKBo9riocTN4T0XWDA1v5sdp9XjxsO0BWFq8gKwR4EbTyVu3uTEP4H8Mn4d1er4MH6Oaod7v8JduFGKOt18Sl4g182tePW1NbvW57pxci/JgJHK25ojey6wcFr+tmbbKfW1w15mwo0ivMzEQrLFAdFZIlApK1asYNiwYaxYsYInT55QsmTJwg7pkyPi7GUurd3BF/26YOXmRMi+YxyZuYhW8yahb2qcL3/Q5r+5e/oC1Qd0w6SkLU+u3uTE3D9pOnUkFs6lCuEKVMe1E1fY9+dOWg/rRClPJ87sOs6qcUv5bvk4jMzyu+k2sS/Zmdmy1y8SU1g0eDa+tf3UGLV6OH8kkE2L/qL3yI64eJfmn60nmTNyGT9vGI2JeX43WZlZzBnxO8ZmRgydFoCZtSnPIp9jYKxfCNGrjrOHA1mzcDf9vu+Au09p9m0+xYzvlvHrxh8xtcjvBUDfUI/5m358nfDGTl3FidOHAlm5YDcDf+yAh09p9mw6xdThy/ht84+YKXFjYKjHb1teu5FQPN2cOhTI8vm7GTI6183uTaeY+M0yft/6dje/by3+983JN9x4+pTmr5du/niLG4CoJ8/538K/8fFzUWO06kW4UYzwopxThwL534LdDHrZDv+96RSTv13Gki1vb2uWbP082mHhRr18KjvWqBJhQKAykpOT2bx5M4MGDcLf359Vq1bJ3jt+/DgSiYQjR45QuXJlDAwMqFGjBqGhoXJ1/PTTT9jY2GBsbEy/fv0YPXq03HSanJwcpk6dioODA7q6uvj5+XHggPIRDdnZ2Xz11Vc4Ozujr6+Pp6cnCxYs+NiX/lG5ufcI7g1q4FavOmYOdlTr1wVNHR3Cj59TmP/u6Qv4tmmCfYWyGJewwvPLOthX8OHm3iNqjlz1nNlxnMpNa1Dpy2rYONrSelgntHV1uHzwX4X5DYwNMbYwkR13AkPR1tOmbB0/9QauBg5uPkHdltWo7V8Ve2dbeo/qgI6eNif3XlCY/+TeCyQnvuCbmX1xL+eMtZ0FXhXcKO1mr+bIVcveTSdp2Koa9VtUxcHZln4/tEdHV5tjexR7gdzvuGaWJq+Pt/wx/ynz98aTNG5djYYtqlLK2ZaBP7ZHV0+bo29xgwTMLU1kh5ll8XSza8NJmrSpRqOWVSntYsvg0bluDv399vvG3Mrk9VHM3TR+6WZIAdxkZ+cwZ+J6uvdvgq29hRqjVS/CjWKEF+X8tfEkX7Z+3dYMeunm8Lvams+gHRZu1I/YOlh0lghUyJYtW/Dy8sLT05MePXrwv//9j7xL5IwbN465c+dy6dIltLS06Nv39ZDK9evXM336dGbNmsXly5cpXbo0S5culSu/YMEC5s6dy5w5c7h27RpNmjShVatWhIWFKYwpJycHBwcHtm7dys2bN5k4cSJjx44tstOAsrOyeH7vIba+XrI0iYYGdr5exNy+q7hMZhYa2tpyaZo62kTfCldprOomKzOLJ2EPcavwerVxDQ0N3Cp48CAkokB1XD74L751K6Kjp6uiKAuHrMwsIm4/wruSvBufyh6E34hQWCboTDBuPo6snbedb1pNZFyv2fy95jA52Tlqilr1ZGVmcTf0Eb6V3WVpGhoa+FbxICz4vtJyaakZDGn7E4PbTOWXH/7Hw7uR6ghXrWRmZhEe+ohyVeTdlKviQej1t7sZ0OYn+reayszv/8eDYurmzq1HlM/jxu8dblJTM+jb6if6tJjKT6P+x/3w4uvGT4GbW29xs2nFP5iaG/Fl6y/UEWahINwoRnhRTmZmFuG3HlG+qryb8gVoa/q1/om+LacyfVTxbYeFG0FhIDpLBCpjxYoV9OjRA4CmTZuSkJDAiRMn5PJMnz6dunXr4u3tzejRozl79ixpaWkA/Pbbb3z11Vf06dMHDw8PJk6ciK+vr1z5OXPm8OOPP9KlSxc8PT2ZNWsWfn5+zJ8/X2FM2traTJkyhcqVK+Ps7Ez37t3p06dPke0sSU9MRpqTk2+6jZ6pManxiQrLlCxXhpB9R0h8Go00J4cn10J4cCFIaf5PlReJKeTk5OSbbmNkZkxyXNI7yz8MvU9UxFMqN62uqhALjaSEFHKyc/JNKzExNybhmWI30U+ec/HENXJychjxS39a9W7Mgc3H2b3mkDpCVguJ8Yq9mFoYEf9csZeSpW34emxnvp/Vh6GTupMjlTJh4G88i45XQ8TqI+mlm7yjZszMjYhXcs/YO9owZFxnxszuw/DJ3ZHmSBnb/zdii5mbV/eNeV43FkbEKXHjUNqGb8d3ZvycPoyY2p2cHCk/9PuN2Kh4NUSsPhKV3TdvcXMj6C7/7L7AsHEd1RFioSHcKEZ4Uc5b3Sj5jLJ3tGHY+M6M/aUPI6Z0RyqV8uPn1tZ85m5UiQQNlR6fAp9GlIJPjtDQUC5cuEDXrl0B0NLSonPnzqxYsUIuX7ly5WT/trOzAyA6OlpWR9WqVeXyv/k6MTGRJ0+eULNmTbk8NWvWJCQkRGlsixcvplKlSlhbW2NkZMSyZct48ODBW68nPT2dxMREuSM9Pf2tZQqLKgEdMLa1YfeIqazv8S0XV27BtV51JMV0vvyHcvnAv5RwslO6GOznhjRHiomZEX2+74STZym+aFiBlj0bcWzX2cIOrVDx8HWibrPKOHnY413BlZEzAzAxM+TwLsXT4D4nPH2dqN+8Ms4e9vhUdOWHWQGYmBvyz07hxqucEw38K+PiYY9vRVfGzg7A1NyQA5+5mxcpacybtJFhYztiamZU2OEUKYQbxQgvb8fL14kGzXPbmrIVXRn9sh0++Jm3NSDcCD4OYoFXgUpYsWIFWVlZcgu6SqVSdHV1WbRokSxN+43pIq++zOfkqG7Y/6ZNmxg1ahRz586levXqGBsb88svv3D+/Pm3lps5cyZTpkyRS5s0aRJarWupLFYAXRMjJBoapCbI95qnJSShb2aisIyeiTH1Rw0kOyOT9OQU9M1NCdzwF0YlLFUaq7oxMDFEQ0OD5Hh5N8nxSRgpWMD0TTLS0rl24gqNejVTZYiFhrGpIRqaGiTk+bUlMS4JUyXzdc0sjdHU0kRD83UfekmnEiQ8TyIrMwst7U//48LETLGXhOfJBV6HREtLEycPeyIfxaoixELD+KWbvCNs4uOSCzzHW0tLE+di6ObVfZP318v458kFXodES0sTFw97nhZTN/nuGyVuIh8/I+rpc6aO/J8sTZqTOz23VfXv+WPrj9g5WKk2aDUh3ChGeFHOW928x2fUZ9fWfOZuVMmnsq6IKhEGBB+drKws1qxZw9y5cwkKCpIdV69epWTJkmzcuLFA9Xh6enLx4kW5tDdfm5iYULJkSc6cOSOX58yZM3h7K97q9MyZM9SoUYPBgwdToUIF3NzcCA9/91oeY8aMISEhQe4YM2ZMga7jv6CppYWFcykig18vfCvNySEyOBRrj7evBq+po42BhRnS7BweXAikVKVyb83/qaGlrUVJ91KEB92WpeXk5BAedJvSZZzeWjb4ZBDZmVn4Naii4igLBy1tLZw8HLh5+fXaPTk5Ody8HIarj5PCMu6+zkQ9jpXrrIx8GIOZpUmx6CiBXC8ung5cz+Ml+FIY7mULNsIoJzuHh+FPMbdU3Fn5qaKtrYWrpwPXLsq7uXYxDE/fgrnJzs7hQTF14+aV383VS+/nJqIYu7mqwI2XAjcOjjYs2jiKhetGyI4vanvjW8mVhetGYFXCTI3RqxbhRjHCi3K0tbVwVdDWvG87fD/8KeZWxa+tEW4EhUHx+AtYUKTYs2cPcXFxfPXVV5iamsq91759e1asWMEvv/zyznqGDRtG//79qVy5MjVq1GDz5s1cu3YNF5fXnQTff/89kyZNwtXVFT8/P1auXElQUBDr169XWKe7uztr1qzh4MGDODs7s3btWi5evIizs/NbY9HV1UVXt3AWAfX2b8iZpWuwdCn9cuvgo2Slp+NatxoAZxavRt/CjIpdWwMQE3aP1LgEzB0dePE8nmvb9iKVSvFp1bhQ4lclNdvVY/uc9di7l8bBszRnd54gIy2DSl/mLgC39Zd1mFia0qRvS7lylw7+S5kavhiYGBZG2GqhSee6/DljI85epXApU5p/tp4gPTWD2s1zp7It+2kD5lYmdPy6BQD129Tg8I7TrF+wi8btaxH5KJY9aw/TqEPtwryMj45/lzos+WkTrl6lcPUuzb7NJ0lPy6Bei1wvi6ZuwMLalG6D/AHY9r9/cPdxxNbBipTkVP5ef4yYyDgatCp+iwy27FqH36Ztwq1MKdy9S/P3SzcN/HPdLJiyAUtrU3oMznWzZcU/eJR96SYplb9eumlUDBdgbNOtDr9OyXXj4VOavzadJC01g0Yv75t5kzZgaWNK7yG5bjYu/wfPso6ULGVFclIqO9fluimOi1O+cuOuxM3cl24Chvijo6uNk6udXHnDl9uT500vDgg3ihFelNO6ax0WTH2jHd50krS0125+nZzbDvd62dZsetnW2JXKbYdftTWNi+FnlHCjfsTIEtFZIlABK1asoFGjRvk6SiC3s2T27Nlcu3btnfV0796du3fvMmrUKNLS0ujUqRMBAQFcuPB6i7BvvvmGhIQERo4cSXR0NN7e3uzevRt3d3eFdQ4cOJDAwEA6d+6MRCKha9euDB48mP3793/4BasYpxqVSEtM4urWPaTGJ2HuaE+D0UNk03BSYuNy90Z7SU5mFkGb/yYpOhZtPV3s/XyoOaQ3OoYGhXUJKqNc3YqkJCRzZO0+kuISsXNxIOCnrzEyz3WTEB2Xb62WmIdR3L9xlz4zBhVGyGrji4YVSIpPZueKAyQ8T6S0mz0j5wyQLW76LErejWUJc0bNHciG33Yxvs8czK1MadyhDv7dGxTWJaiEGo0qkBifwpY/DxL/PBEnd3vGzOsvm4bzLCoeDY3XXlKSUln281binydiaGyAi6cD0/4YhoOzbWFdgsqo1TjXzcY/DxL/LBFnd3sm/NpfNg0nNjIejTfumeSkVJbM3Er8s0SMjA1w8XJgxrJhlCqGbmo3rkBCXArrlx0k7lkiLh72TFnQXzZtICYqHskb901yYiqLZmwl7qUbtzIOzF4+jNIuxc9NnZdu1r3hZmoeN28+U58Two1ihBfl1H7ZDm946cbZw55J899oh/O4SU5KZfHM122Nq5cDs/4snm2NcCMoDCTSvHu5CgRFmMaNG2Nra8vatWsLOxQAfgo8XNghFEnGV2jEtnsHCjuMIkcH56aci95b2GEUSarb+BP0bE9hh1Ek8bNswY044UYRPuYtuJ0g3OTFw7QFYcKLQtyFG6UIN8pxN23BrXjhRhFeZsKNIrzMWhR2CP8ZK8/hKq0/NnS+Suv/GIixNYIiy4sXL5g3bx43btzg1q1bTJo0icOHD9O7d+/3qsfJyUnpVsICgUAgEAgEAoFAIBDkRYwsERQaAQEBrF69WvbawsKCKlWqMHv2bMqVK0dqaiotW7YkMDCQtLQ0PD09GT9+PO3atXuv88TExGBoaIiBQfGbhiIQKOLixYusWLGC4OBgYmJiWLx4MY0aNXprmfPnz/Pzzz8TFhaGnZ0dgwYNeu9n7VNh/fr1rFixgpiYGLy8vJgwYYLcNuZvkpmZyR9//MGuXbuIiorC2dmZUaNGUadOHTVHrR6EG+UIN8oRbvIj2mHlCDfKEW7ejmhr1Iu153cqrT8m9FeV1v8xEJ0lgkIjICCAqKgoVq5cCUBkZCTjx4/n2rVrPHjwoJCjKxiey0+q/Bx1HMypWMKU4NgkFjf2YfChGxy5/+yd5Yx1NNnRpiL3E1Ox0tehzc4rKo/1FaH96lB3z5l3Z/yPfGFtRlkLE24nJPNT5TKMuxjC6ajnSvMP9XbmWXoGgbEJJGVl0dzBhs6u9gw6fY2wxBSVx3uiRU0CTp5Q+Xnirl8n6U44ho6O3F66FM/Bg7CoUEFp/rSYWK5OnkyJunWxqV2LhJAQIjZvocywYZiV9VF5vACr6tRlzKUjKj/Po3OXuPT7Gvz6dsXC1Yk7B47y+PwVGs+ZjJ5p/u0Hgzfu5MGZC1Ts1x3jkrZEXbvJtXXbqTd5FGZOpVQeL8DMyg2ZEXRI5ee5d/YypxevpVq/zli7O3Fz3zHu/xtIm18noq/AzeX1uwg/dZEaA7thWrIEj6+GcGnNDppNG4Gls3rcjPVrrJbpkBFnL3NmyRq+6Nfl5ULbx3hw/gqt5k1S6ObK+l3cPX2B6gO6YVLSlidXb3J57Q6aTh2JhRrcjK/QiBHnj6r8PABP/r3E1WWrKRvQFTNXZ+4dPMrTC5epN3syuib5d50I2byTx2fPU65vD4zsShBz/SY3N2ynxoTvMVXDMzXviwZ8c+6Yys8Tcy2Y+LBwTJxKE/TbH/gN+5oSlfyU5n8RE8vZcVNxqF8Hh7o1eXbzFqEbtlLxuyFY+aqnHV5YvT4DTh9X+XmeXQ8mMewOxk6O3Fj8Oz5DBmFV0U9p/tSYWC5NnELJenWwrV2L+JBb3Nm0Bd9vh2Khps+oZbXq8fUZ1d83z64Fk3AnHGPH0gQv/oOyQ7/G+h1uLkyYin29OtjVqUlcyC3ubNyK7/AhWKrJze816zNFDe3w/bOXObdkDVVetsO3XrbDLedNUvj5Hbh+FxGnL1B1QDdMS9ry9OpNrqzdQWM1tcOTKry9k+tTQHSWiGk4gkJGV1cXW1tbbG1t8fPzY/To0Tx8+JCYmBgAHj58SKdOnTAzM8PCwoLWrVsTEREhKx8QEECbNm2YM2cOdnZ2WFpaMmTIEDIzM2V58k7DkUgkLF++nLZt22JgYIC7uzu7d+9W1yW/NycfxTH/cgSHC9BB8iZTarqzJzyaoOikd2f+RDkfE8+K0AecilTeQfImi27eY2P4Y24lJPM4JY0/Qx/wKCWNGiUsVBypejH39aV02zZYVlTeQfImUSdOoGtlhVOnjhjY2WHXoAGWlSry5HDxW5MnbP9RnOrXxKludUwc7KjQtyuaujrcP3FWYf4Hpy/g2aoptn5lMbSxwqVRHWz9fAjbV/zc3Nx7FPeGNXCvXx0zBzuq9+uCpo4Od46dU5g//NQFyrX9EocKPhiXsMLry9rYV/Dm5h71fElXJzf3HsG9QQ3c6uW6qfbSTfhxxW7unr6Ab5sm2Fcoi3EJKzy/rIN9BR9u7lV9h6C6uXfgCKXq1aRUnRoY29vhG5D7TD08odjN4zPncWvZFJvyZTGwscaxYV1syvtw90Dxeqasy5XFvX1rSlQqWDv88NhJ9K2t8OraAaOSdjg2qk+JyhWJOFj87hlL37I4t2uDVQE/o54eP4GelRWunTtiWNIO+4b1sa5UkUeHitc9A2BZriwu7VpjXcD75snx3PvGrUsHDEva4dCwPtaVK/Lon+J339zaewTXBjVwrVcdUwc7qvbrgtZb2uGI0xfwedkOG5Wwwv3LOpSs4MOtYtgOqwqJREOlx6fApxGl4LMgOTmZdevW4ebmhqWlJZmZmTRp0gRjY2NOnTrFmTNnMDIyomnTpmRkZMjKHTt2jPDwcI4dO8bq1atZtWoVq1ateuu5pkyZQqdOnbh27RrNmzene/fuPH9esC/cnwLt3EtQyliPRVfuF3YoRRoJYKClSeIbnWufI0l372JapoxcmpmPD8l3wwspItWQk5VF/L0H2JT1lKVJNDSwKevF87B7Ssto6shvHKepo82z0OLlJjsri2d3H1LSV95NSV9PYpS5ycxCU1tbLk1LR4eoYujm+b2H2Pp6ydIkGhrY+XoRc/uu4jKZWWjkcaOpo030reLlJicri4SIB1j5yLux8vYi/o5iNzkK3Gjo6BB3+45KYy3qJNy5i4W3l1yala83CeGKPX5OJIbfxTyPG4uy3iQKNySE38W8TB43PsXvvlHWDtv6ehH7lnY472eUpo42McWsHRaoFtFZIihU9uzZg5GREUZGRhgbG7N79242b96MhoYGmzdvJicnh+XLl+Pr60uZMmVYuXIlDx484Pjx47I6zM3NWbRoEV5eXrRo0QJ/f3+OHHl7r3FAQABdu3bFzc2NGTNmkJycLLcl8aeMo4keI6s68/3xULLFJLu30sXVHn1NDY49eb9RO8WNzIQEdPIMl9c2MSE7NY3sNzomP3XSk5KR5uSgayp/rbomxqQlJCosY+NbhrB9R0mOjEaak0PU9RCeXAwiLV5x/k+V9MRcN3mHMuuZmpCq5FpLli/Djb1HSXya6+bJtRDuXwgiNa54usk73UbP1Fi5m3JlCNl3RM7NgwtBSvN/qmS8eqbytB+6piakK3mmrH3LcO/AEVJePlMxwSFEXgokvZi5eV/SExLztU06JsZkFbN2+EPISEz8LD6jPoSMhER08t43psbFzo3yzyhjpZ/HduXKcOuNdvjptRAeFsN2WJWIkSWg9e4sAoHqqF+/PkuXLgUgLi6OJUuW0KxZMy5cuMDVq1e5c+cOxsbyDWNaWhrh4a97hX18fNDU1JS9trOz4/r1628975uLQRkaGmJiYkJ0dLTS/Onp6aSnp8ul6erqvvsC1YyGBObWL8Nvl+8TkZha2OEUaRqVtKK3eynGXQohPuPzHlkiUE75Xh25snw9/4yagkQiwbCEFY51qhOhZIrB50TVgA6c/WMju76bBhIJxiWscKtXjTvH/i3s0AqdKgEdOLdsA7tHTJW5ca1XnXAlU5o+J7x7dOL6/9Zz/MfJSCQSDGysKFW7Og9PCjcCgeDjUSmgAxeWbWDvy3bYqIQVLvWqc1e0w4L3QHSWCAoVQ0ND3NzcZK+XL1+Oqakpf/75J8nJyVSqVIn169fnK2dtbS37t3aeIXYSiYScnJy3nvd9y8ycOZMpU6bIpU2aNAkcGrz1POrGUFsTX2tjylgaMaFGrlcNCWhIJNzoW5uv9l/n36fxhRtkEaBBSSu+L+/GpMuhXI5NKOxwCh1tU1MyEuV/aclMTERTXw9NHZ1Ciurjo2tshERDI98v3umJSeiZ5l+IEnJHnVQf8TXZGZlkJKegZ27KjU27MLSxUkfIakPXJNdNWoL8GkdpCYnomyl2o2diTIPvB5CdkUlacgoG5qZc2fAXRiUs1RGy2njlJjWfm6S3uqk/aiDZGZmkJ6egb25KYDF0o/PqmcrTfigaJfEKXRNjKg/PfaYyk1PQNTfl1pZdGBSzZ+p9UTQaJyMxCa1i1g5/CDomJp/FZ9SHoGNqQkbe+yYhqdi5Uf4ZlYTeW9rhOnna4aBi2A6rkk9l9IcqEQYERQqJRIKGhgapqalUrFiRsLAwbGxscHNzkztMTU3VGteYMWNISEiQO8aMGaPWGApCckY2LbZfos3Oy7JjU8hT7sa/oM3Oy1yNEUMPG5a0YnR5N6Zeuc2/0XGFHU6RwNjFhYRbIXJp8TdDMHJxLaSIVIOGlhZmzqWJvhEqS5Pm5BAdHIqFu/Nby2rqaKNvYYY0O4fHF4Owq6R4q8JPFU0tLSxdSvH0urybp8G3sS6AG8OXbu6fD6J05eLnxsK5FJHB8m4ig0Ox9nB5e1kdbQxeunlwIZBSxey+0dDSwtSpNLF5nqlnN0Mxc3u3G72XbiIvBlKiYvFy876YurnwPOSWXFrsjRBMXd/u8XPAxNWF+Dxu4m6GYCLcYOrqQlweN89vFr/75lU7HKWgHbZ6j3b44YVA7ItZOyxQLWJkiaBQSU9PJzIyEsidhrNo0SKSk5Np2bIlVatW5ZdffqF169ZMnToVBwcH7t+/z44dO/jhhx9wcHBQW5y6urqFNu3GQEuD0ib6stcOxnp4WRiSkJ7F05R0RlR2ooShLj+eCEUKhMW9kCv/LC2T9OycfOnFAX1NDewNX7uxM9DDzcSQxIxMotMy6O/liLWeDjOCwoDcqTdj/Nz57cY9QuKTsNDNHWGUnp1DSlZ2oVyDKshOSyMtOkb2Oi02lpQHD9EyNEDX0pL7O3aQEReP+1d9AShRty6Rx45xf9s2bGrWJOFWKM8uXaLMsGGFdQkqw71ZAy79sQZzZ0fMXR25c+AY2enpONatDsClpavQMzejbJc2ADy/c4/UuHjMHEuR+jyekB17kebk4NGicSFehWrw9m/A6SVrsXQtjZVr7va4WenpuNWrBsCpRWswsDClUrfWAMSERfDieTwWTg68eB5P0LZ9SKVSyrb69LdLzIu3f0POLF2DpUvpl1sHHyUrPR3Xurluzixejb6FGRW7vnJzj9S4BMwdc91c27YXqVSKT6vid984N23I1T9XY+ZcGlMXJyL+yXVTqk7uMxX0R+4z5dWpDQBx4fdIex6PqaMDaXHx3N65F6k0B9fmXxbiVXx8stLSeBH1uh1OjY0l8f5DtI0M0be04PbWnaTHxeM7oA8AperX4eHh44Ru3o597Zo8D7lF1IXLVPxuSGFdgsrITksjNc9nVPKDh2gZGqJnacHd7TvJiIvHq1+uG7t6dXl89DjhW7djVyt3e9zoi5fx/XZoYV2CyshS4CbpwUO0X7oJ35Z733j3z3VTsl4dHh05zp0t27GrXZP4kFvEXLyM7/Did994+Tfk3NI1WLiUxtLNidCX7bDLy3b47OLVGFiY4feyHY7N0w5ff9kOexfDdlh1iHEVorNEUKgcOHAAOzs7AIyNjfHy8mLr1q3Uq1cPgJMnT/Ljjz/Srl07kpKSsLe3p2HDhpiYKB5yVxwpa23MWv/ystdjq+X+2r/jdiRjTt7G2kAHO6Oit36KOvA0M2JBdV/Z66E+ub+A738Yxc9X72Cpq42N/ms3LRxt0dLQ4DtfV77zfT1q4lX+4kLy/fvcnDNX9vr+lq0AWFevjlvfPmTGJ5Dxxu5PetZWeH0zjIjNW3h65Cg65ma49uqFWVkftceuahyqVyY9KZmb2/aQnpCIqaMDNX8cKpuG8+JZHLwx7DQ7M5ObW/4mJSYWLV1dbP18qDyoNzqGBoV1CSrDuUYl0hKTCdqyl9T4JCyc7Gk0ZohsqknKs+dINCSy/NmZmQRu3kNSdCzaerrY+/lQe0ivYunGqUYl0hKTuLp1D6nxSZg72tNg9BtuYuNA8tpNTmYWQZv/lnNTc0jxvG9KVqtMRlIyt3fkPlMmpR2o+v0w2TSc1GfPkci5yeT29t28iIlFU1cXm/Jl8RsYgHYxc5N47z4XZ/0qex26cRsAJWtWw7d/AOnxCaQ+e90OG1hbUfG7IdzauI37h46hZ26GT58eWPkWv3Y4KeI+V3+ZJ3sdvjn3M6pEjep4fRVARnwCaW98RulbW+H77VDCN23l8eGj6Jqb4dm7JxbF8DMqKeI+QbNf3zd3NuXeN7Y1q1HmqwAyEhJIz+Om3PAh3Nm0jUeHj+W6CeiBZTF04/iyHb62dQ9pL9vh+m+0wy9i4+TamuzMLK5u/pvkl+2wnZ8P1YtpO6wqxDQckEilUrFfhkDwgXguP1nYIRRJQvvVoe6eM4UdRpHjRIuaBJw8UdhhFElW1anLmEtv38Xqc2Vm5YbMCDpU2GEUScb6NeanwMOFHUaRY3yFRow4f7SwwyiSzPuiAd+cO1bYYRRJFlavz4DTxws7jCLJslr1+PqMuG8U8XvN+kwR7XA+JlX49EdZ2vmMU2n9T29MV2n9HwMxskQgEAgEAoFAIBAIBAKBDDGyRIwsEbwkICCA1atXy15bWFhQpUoVZs+eLbfN7rvqiI+PZ9euXSqK8vNl/fr1rFixgpiYGLy8vJgwYcJb/1/279/PggULePz4MU5OTowaNYq6deuqMWL1IdwoR7hRjPCiHOFGOcKNcoQb5Qg3ihFelCPcKEe4US8ly05Qaf1PgqeptP6PgegsEQC5HR1RUVGsXLkSgMjISMaPH8+1a9d48OBBgev4/DpLbqv8DPv2neKHH+YxZcoQypf3YPXq3Rw4cJoDB37H0tIsX/4rV0Lo0WM0I0b0pn79Kvz99wmWL9/Ojh3z8fBwVHm8uXgg3ChCPV5AuFHGp+cFhJu3IdwoRrQ1yhFulCOeJ+UIN8oRbhTjoYZzqBb7spNUWv/j4Ckqrf9jIMbWCGTo6upia2uLra0tfn5+jB49mocPHxITk7sq9/Xr12nQoAH6+vpYWloyYMAAkpOTAZg8eTKrV6/mr7/+QiKRIJFIOH78OBkZGQwdOhQ7Ozv09PRwdHRk5syZAIwaNYoWLVrIzj9//nwkEgkHDhyQpbm5ubF8+XIALl68SOPGjbGyssLU1JS6dety5coVuWuQSCQsX76ctm3bYmBggLu7O7t375a9n52dzVdffYWzszP6+vp4enqyYMEC1Qj9SKxcuYtOnZrQvn0j3NxKM2XKYPT0dNm+XfEaBmvW7KZ27Yr069cOV9dSDB/eA29vV9at26PmyFWPcKMc4UYxwotyhBvlCDfKEW6UI9woRnhRjnCjHOFGUBiIzhKBQpKTk1m3bh1ubm5YWlqSkpJCkyZNMDc35+LFi2zdupXDhw8zdGjutm2jRo2iU6dONG3alKdPn/L06VNq1KjBwoUL2b17N1u2bCE0NJT169fj5OQEQN26dTl9+jTZ2blbtp44cQIrKyuOHz8OwOPHjwkPD5ftjJOUlETv3r05ffo0//77L+7u7jRv3pykpCS52KdMmUKnTp24du0azZs3p3v37jx/uXJ4Tk4ODg4ObN26lZs3bzJx4kTGjh3Lli1bVC/1A8jIyOTGjTvUqPF6NxwNDQ1q1PAjMDBUYZmgoFtUr+4nl1arVgWCgm6pMlS1I9woR7hRjPCiHOFGOcKNcoQb5Qg3ihFelCPcKEe4KRwkEg2VHp8CYoFXgYw9e/ZgZGQEQEpKCnZ2duzZswcNDQ02bNhAWloaa9aswdDQEIBFixbRsmVLZs2aRYkSJdDX1yc9PR1bW1tZnQ8ePMDd3Z1atWohkUhwdHw97K127dokJSURGBhIpUqVOHnyJN9//71sGs/x48ext7fHzc0NgAYNGsjFu2zZMszMzDhx4oTcCJWAgAC6du0KwIwZM1i4cCEXLlygadOmaGtrM2XK6yFfzs7OnDt3ji1bttCpU6ePaPPjEBeXSHZ2DpaW5nLplpZm3L37SGGZ2Nh4rKzM8uWPjY1XUZSFg3CjHOFGMcKLcoQb5Qg3yhFulCPcKEZ4UY5woxzhRlBYfBpdOgK1UL9+fYKCgggKCuLChQs0adKEZs2acf/+fUJCQihfvrysowSgZs2a5OTkEBqquEcXcjsugoKC8PT05JtvvuGff/6RvWdmZkb58uU5fvw4169fR0dHhwEDBhAYGEhycjInTpyQW4QpKiqK/v374+7ujqmpKSYmJiQnJ+dbU+XNhZ4MDQ0xMTEhOjpalrZ48WIqVaqEtbU1RkZGLFu27J3rsqSnp5OYmCh3pKenv1uqQCAQCAQCgUAgEHxivFpaQVXHp4DoLBHIMDQ0xM3NDTc3N6pUqcLy5ctJSUnhzz///OA6K1asyL1795g2bRqpqal06tSJDh06yN6vV68ex48fl3WMWFhYUKZMGU6fPp2vs6R3794EBQWxYMECzp49S1BQEJaWlmRkZMidU1tbW+61RCIhJycHgE2bNjFq1Ci++uor/vnnH4KCgujTp0++OvIyc+ZMTE1N5Y5Xa6+oEnNzEzQ1NXj2LE4u/dmzeKyszBWWsbLK32uem99MRVEWDsKNcoQbxQgvyhFulCPcKEe4UY5woxjhRTnCjXKEG0FhITpLBEqRSCRoaGiQmppKmTJluHr1KikpKbL3z5w5g4aGBp6engDo6OjI1h95ExMTEzp37syff/7J5s2b2b59u2wNkVfrlhw5ckS2Nkm9evXYuHEjt2/flqW9Ot8333xD8+bN8fHxQVdXl9jY2Pe6pjNnzlCjRg0GDx5MhQoVcHNzIzw8/J3lxowZQ0JCgtwxZsyY9zr3h6Cjo42Pjxvnzl2TpeXk5HDu3FUqVPBUWMbPz4t//70ql3b2bBB+fl4qjVXdCDfKEW4UI7woR7hRjnCjHOFGOcKNYoQX5Qg3yhFuCgexZonoLBG8QXp6OpGRkURGRhISEsKwYcNITk6mZcuWdO/eHT09PXr37k1wcDDHjh1j2LBh9OzZkxIlSgDg5OTEtWvXCA0NJTY2lszMTObNm8fGjRu5desWt2/fZuvWrdja2mJmZgZAnTp1SEpKYs+ePXKdJevXr8fOzg4Pj9fbbrm7u7N27VpCQkI4f/483bt3R19f/72u0d3dnUuXLnHw4EFu377NhAkTuHjx4jvL6erqYmJiInfo6uq+17k/lD592rBly0F27jxCePhDJk9eQmpqGu3aNQLghx/mMXfualn+Xr1acerUFf73v52Ehz/kt982EBx8hx49Wig7xSeLcKMc4UYxwotyhBvlCDfKEW6UI9woRnhRjnCjHOFGUBiIBV4FMg4cOICdnR0AxsbGeHl5sXXrVlknxsGDB/n222+pUqUKBgYGtG/fnnnz5snK9+/fn+PHj1O5cmWSk5M5duwYxsbGzJ49m7CwMDQ1NalSpQr79u1DQyO3n87c3BxfX1+ioqLw8srt6a1Tpw45OTlyU3AAVqxYwYABA6hYsSKlSpVixowZjBo16r2uceDAgQQGBtK5c2ckEgldu3Zl8ODB7N+//0O1qZzmzWvz/HkCCxeuJyYmjjJlXFi+fIps2OHTpzFoaLye91exYhnmzBnF/PnrmDdvDU5OJVm8eJya9pRXL8KNcoQbxQgvyhFulCPcKEe4UY5woxjhRTnCjXKEG/UjEeMqkEilUmlhByEQfLrcLuwAiigeCDeKEF6UI9woR7hRjnCjGOFFOcKNcoQb5Qg3yhFuFOPx7ixFHMfyM1Ra//2rY1Va/8dAdBcJ8hEQEECbNm2Uvj958mT8/PzUFo9AIBAIBAKBQCAQCNSHWLNETMP5JAkICGD16tdz8iwsLKhSpQqzZ8+W2zZXVYwaNYphw4ap/Dz16tXjxIkT+dIzMzPR0ioqt+6n32usOoQbxQgvyhFulCPcKEe4UYzwohzhRjmqd3Px4kVWrFhBcHAwMTExLF68mEaNGinNHx0dzaxZswgODub+/fv07NmTcePGqTzO/BQ9NwDnz5/n559/JiwsDDs7OwYNGkS7du1UHqs8wo2geFJUvnEK3pOmTZuycuVKACIjIxk/fjwtWrTgwYMHH1xndnZ2gfa8NjIywsjI6IPP8z7079+fqVOnyqUVnY4ScPL7WaX1r17cib8PhnD1xlO0NDX4flgdPFytadxuOalpmQrLlPOxxf/LMgTfjGTCqIb8vupf/rf+kkrjzEtE0GisPb9T6Tk2Lx/Azr2BBF5/iJamBuNG+OPlbkst/1m8SFW8FfTSOT24cOUeF6/cIy0ji2/6NaB543LU8p9FZHSCSuMFiAn9FWPnPio/z45VI9j+93kuX7uHlpYmk0e1p4ynPVUaj1PqptYXnpibGnI7/CkZmVk0beDHjHGd6fDVfI6cDFZ5zEn3VlKy7ASVn2f97734a/91goIfo6WlwehvG+HlVoK6rReSmqr4mVr0cwcuBj7gUtAD0jOyGNK3Nk0blqF+m9+IjE5SecxPgqfhXvsPlZ5jxZzm7D1yh2shMWhpShg5sCruzhY067mF1LQshWUqlC3Bht9aMXfZBY6dvU/LRm707+5Hm6+2E3YvTmGZj03YqYG49tqs8vPULWdLJXcrgiPiWPptLb6ef5pDVx4rzV/J3YqN4+ozfX0QRwKfUMJCn58CKnMvMonBC8+oPN7wNZ1xWpT/x4aPTb3SFlSyMyE4Jok/mpdlwN5g/rn3TGn+avambGrrR/11F0jOeH1fxb7IRF1zwiOG1qXWX6dVfp5qNub4WhgTmpDCjKplGHP+JqcinyvN/01ZZ2LTMrgSm0ByZhbNS5egq5s9A05eJSwhRWm5j8np1rVof+SUys+TdOM6L3QN0G/bEZYtYdbVmyyVKF80P+NZLM+SU9Gr0wDdo4fY+/AJV9QQ55tsb1ibAaePq/w8z64Hk2igh02n9sQs/p0lN4PZoqf8797UmFguTZxCyXp1KN+1E/Ehtxgzbhwbop9iUdZH5fECLKtVj2/OHVP5eWKuBRNvpId9l3bE/PYHf966zm5DTaX5X8TEcnbcVBzq16Fqj448u3mLsePGsS32CVa+qnezsHp9lZ9D1Xwqoz9UiTDwiaKrq4utrS22trb4+fkxevRoHj58SExMDADHjx9HIpEQHx8vKxMUFIREIiEiIgKAVatWYWZmxu7du/H29kZXV1dhZ8vFixextrZm1qxZQP5pOK+m7cyZMwc7OzssLS0ZMmQImZmvv3isXbuWypUrY2xsjK2tLd26dSM6Ovqd12lgYCC7zlcHwI8//oiHhwcGBga4uLgwYcIEufNdvXqV+vXrY2xsjImJCZUqVeLSpdcdBtu3b5dtP+zk5MTcuXPfLb0Q6D1kC9t2XycsPJaQ29GMmrgXh5Km+HrbKi1z7UYkM389xt8HQ8jIzL+Vc3Ghc79lbNp5kdA7kdwIfcKw0RsoZW9BeR8HpWUGjVrHyg1nCL71hDt3oxk+fjMaGhLqVHdXY+Sqp13APNZvP8OtsCcEhzzk6+9XUNreigq+TkrLnD4fyt//XCE0/Cn3HsSwdNUhgm89onrl4uWm+9dr2PJXILfDo7kZGsnwcTtwKGlGOe+SSssMHb2N1ZsvcCM0kjv3Yhk5aRcaGhJqVXNVY+Sq5atR+9ix/zZ3IuK4Ff6cH2ccx97WmLKe1krL9O7gy6kLD1m+8Srh9+OZv+ISN2/H0rNdWTVGrh5OXItk3vZg/rmsvIPkTSq4WfIo5gWrD4XxKDaFy7dj2XgsnHIuFiqOVL0cf/CcuecjOHhXeQeJIp69yCDmRabsKI6L5/0bHceftx5w8mnB3CwMvseGO4+5FZ/Mo5Q0loXc51FyKjVLFK97BsDYx5cSrdpi4lexQPl1LK2w69QV82o10HjPXRA/NSx9y+Lcrg1WFSsUKP/T4yfQs7LCtXNHDEvaYd+wPtaVKvLo0GEVR6p+rMuVxb19a0pUKpibh8dOom9thVfXDhiVtMOxUX1KVK5IxMEjKo60+CBBQ6XHp8CnEaXgrSQnJ7Nu3Trc3NywtLR8r7IvXrxg1qxZLF++nBs3bmBjYyP3/tGjR2ncuDHTp0/nxx9/VFrPsWPHCA8P59ixY6xevZpVq1axatUq2fuZmZlMmzaNq1evsmvXLiIiIggICHivWN/E2NiYVatWcfPmTRYsWMCff/7Jr7/+Knu/e/fuODg4cPHiRS5fvszo0aPR1tYG4PLly3Tq1IkuXbpw/fp1Jk+ezIQJE+TiLaoYG+X+8hKfkFrIkRQ9TIxz/4CKS3hR4DL6+jpoaWm8V5lPkVdunscX/NfJujXK4O5iy5kLoaoKq0hgYqQHvN8zpa+njZaWJvHF+L4xMtQBID4xTWmeCmVtOHtJvvPg1IVH+JUtodLYPgUC7zzDzlKfeuVyd5izNNGlaRUHTlx9WsiRFQ32danMhT7VWNuqHJVsTQo7nCKJBDDQ0iQxU/HILoEAIDH8LubeXnJpFmW9SQy/W0gRFR0S7tzFIo8bK19vEoQbwXtQdOYzCN6LPXv2yKbCpKSkYGdnx549e2Rb8haUzMxMlixZQvny5fO9t3PnTnr16sXy5cvp3LnzW+sxNzdn0aJFaGpq4uXlhb+/P0eOHKF///4A9O3bV5bXxcWFhQsXUqVKFZKTk986pWfJkiUsX75c9nrgwIHMnTuX8ePHy9KcnJwYNWoUmzZt4ocffgDgwYMHfP/997LtiN3dX/86Pm/ePBo2bMiECblD/j08PLh58ya//PLLf+rAUTUSCUz8vhEXAx9yOzy2sMMpUkgkEn4a24bzl+9yKyyywOUmjmpBZHQiJ88W31XcJRIJsyZ05dzF24Tcfvuv4ibG+oSem4eujhbZOVJGTFjLsdM31RSp+pFIJEwZ3ZwLV+4TeufdI91eMW7El0TFJHHqXPH8g0sigfHf1ODStadvnU5jZWFA7HP5DqPY5y+wtijev/wWhMthsYxY+i8LhlRHV1sTbS0NDl95zKQ1lws7tEIlOiWDscducy06CR1NDbp427KpbXnabAvkRkxyYYdXpOjqZo++liZHH4vPe4FyMhIT0TGR73DUNjEhOzWN7IwMNHV0Cimywic9IRErU3k3OibGZAk3BUdMwxGdJZ8q9evXZ+nSpQDExcWxZMkSmjVrxoULF3B0LPj+4To6OgoXhT1//jx79uxh27Ztb90Z5xU+Pj5oar6eN2hnZ8f169dlry9fvszkyZO5evUqcXFx5OTkALmdGt7e3krr7d69u9wiXmZmZgBs3ryZhQsXEh4eTnJyMllZWZi88WExYsQI+vXrx9q1a2nUqBEdO3bE1TV3yHxISAitW7eWO0/NmjWZP38+2dnZctfxivT0dNLT0+XSdHWVz69VBdPGfImnmzUdAtap9byfArMmtcfL3Y4W3RYWuMw3/RvStnkF2vRaTHpG8f3lbt7UHpTxdODLju/e/i0pOY2a/pMwNNClXk1vZozvwr0H0Zw+XzxHl8wY3wIvNxva9Fr+7swvGfpVbVo386VDn/8V2/tm8ohauDtb0HXIX4UdyieLW0kTJvSoyKK/bnDyeiQ2ZvqM7lyeaQGVGbPiYmGHV2jcjU/lbvzrUVxXIhNxNNXnq/IOjDh8qxAjK1o0tremj2dpxly4SXyG4rWUBAKBQKB6RHfRJ4qhoSFubm64ublRpUoVli9fTkpKCn/++SeAbISJVPp6JvCba3q8Ql9fX+Girq6urnh5efG///1PYbm8vJri8gqJRCLrEElJSaFJkyaYmJiwfv16Ll68yM6dOwHIyFC82OQrTE1NZdfp5uaGlZUV586do3v37jRv3pw9e/YQGBjIuHHj5OqaPHkyN27cwN/fn6NHj+Lt7S0754cwc+ZMTE1N5Y6ZM2d+cH3vy5TRjWlQx40u/TaoZUHJT4mfJ7Tjy3retO29mKdRBVukdXDfenwzoCEdv/qDm6HFd1j8nCk9aNrAD/+us3gS+e4FN6VSKXfvR3M95CG/LT/IX/svMXJwCzVEqn6mj/WncV1POvT9H0+jEgtU5uuAmgz5qjZdB6wm5HaUiiMsHCYOr0n96o70/PZvImPePm0r9vkLrCwM5NKsLAyIeS6mCX7dsgyXw2L5c18ooQ8TOHU9kolrLtOprgvWpnqFHV6RIigqCSczMRrpFQ3trfjRz42Jl25xKUb1C48LPm10TEzISJT/DMtMTERTX++zHzmha2pCeoK8m4zEJLSEmwIjtg4WnSXFBolEgoaGBqmpuX+kWlvnLsr39OnrL4JBQUEFrs/KyoqjR49y584dOnXqVKAOE2XcunWLZ8+e8fPPP1O7dm28vLwKtLirMs6ePYujoyPjxo2jcuXKuLu7c//+/Xz5PDw8+O677/jnn39o166dbPegMmXKcOaM/G4EZ86cwcPDQ+GoEoAxY8aQkJAgd4wZM+aDr+F9mDK6MU0aeNBtwEYePRF/OL3JzxPa0byxL+16L+HBI+W7DLzJ0H4NGDn4Szr3+4OrwQ9VHGHhMWdKD1p+WZEW3Wdz/9GHDePWkEjQ1Sl+AxCnj/WnaUNvOvb9Hw8fxxeozOA+tRg+sB7dv17DtRtPVBtgITFxeE0a13Gm5/C/efT03Z2ygcHRVK9kL5dWs7I9QcHFsyPpfdDX0ZT7sQIgJyf3dQE2nfus8LYyIjol/d0ZPwMa2VsxtoI7ky+Hci5KPTtKCT5tTFxdiA+RH5UVdzMEE1eXQoqo6GDq5sLzPG5ib4RgKtwI3gPRWfKJkp6eTmRkJJGRkYSEhDBs2DCSk5Np2bIlAG5ubpQqVYrJkycTFhbG3r1733vHFxsbG44ePcqtW7fo2rUrWVkfNuS8dOnS6Ojo8Ntvv3H37l12797NtGnTPqguyF1/5MGDB2zatInw8HAWLlwoN2okNTWVoUOHcvz4ce7fv8+ZM2e4ePEiZcqUAWDkyJEcOXKEadOmcfv2bVavXs2iRYsYNWqU0nPq6upiYmIid6hjGs60sV/S1t+Hb8fsJiUlA2tLQ6wtDdHVff0Fdu60FvwwrK7stbaWBt6eNnh72qCtpUEJG2O8PW1wLGWm8njVyaxJ7enQqjJfj1xHcko6NlbG2FgZo6f7epTTolndGD/CX/Z6WP8GjP62Gd+O3cTDx89lZQwNitcvDPOm9qRzm+r0Hf4HScmp2FiZYGNlIufmj7n9mPx9B9nrkYP8qV/LG6dS1ni62jGsXxO6tK3O5l3nCuMSVMaM8S1o16I8Q37cSnJKBtaWRlhbGqH3xjO1YEZ7xgxvLHs9pG9tvh/WkBETdvLwcbysjIF+8blvJo+oResv3Rk59QgpLzKxstDHykIfXZ3XHcizx9Vn5MCqstert12n9hcO9O1cDpfSZgzrU4myXtas3aH6rabVjYGuFmVKm1GmtBkADtaGlClthp1l7siaUR19mTPgC1n+o4FP+LKSA90auFLK2pBK7lZM7FGRoPBnRMcrXzT3U8NAWwNvK0O8rQwBKGWih7eVISVfLkb+Q3Vn5jbylOXvW96exs6WOJrq4WFhwMRartRwMGPN9eLXAamvqYGbiSFuJrlu7Az0cDMxpIR+rpuBZRwZX9FDlr+xvTXjK3qwKPgeN+OSsNDVxkJXG0Mt5Vujfqpkp6WR+vABqQ9zd2DMeBZD6sMHZDzP3Tkoctd2Hq1aIVfmVf6c9HSykpNIffiAtKfF777JTksj+cFDkh/k/piTFhtL8oOHpD3L/UHo7vad3Fq+Upbfrl5dUmNiCd+6nRdPI3l89DjRFy/j0LhRocSvSrLS0ki8/5DE+7luUmNjSbz/kNSXbm5v3cn1Za/dlKpfh9ToWEI3byf5SSQPjhwn6sJlnJo0LJT4P0UkEolKj0+B4veT4WfCgQMHsLPLXWXf2NgYLy8vtm7dSr169YDcaTEbN25k0KBBlCtXjipVqvDTTz/RsWPH9zqPra0tR48epV69enTv3p0NGza8d6zW1tasWrWKsWPHsnDhQipWrMicOXNo1arVe9cF0KpVK7777juGDh1Keno6/v7+TJgwgcmTJwOgqanJs2fP6NWrF1FRUVhZWdGuXTumTJkCQMWKFdmyZQsTJ05k2rRp2NnZMXXq1CK5uGvPTrnb6m1e0V0ufdTEvWzbnbsmjL2didwvmCVsjNm3+fWCugN7f8HA3l/w76UHdOn3/v9/RZW+3WoB8Ne6oXLpw0ZvYNPO3DUBHOzMkea8dhPQpSa6Olqs/K2PXJnZvx3gl0UHVRyx+ujfswEABzaNlkv/etRy1m/PHVVVqqSlnBsDA13mTe2FvZ05qWkZhIVH0u+7P9mx94L6AlcDAV1yv9DuWPWVXPrwcTvY8lcgAPZ2prJphAC9OldBV0eL5fO7ypWZu+Qoc5ccU3HE6qF7Wx8A1v8m3y7/OOMYO/bnLoBcsoSRXFsTGBzFiClH+a5/FUYOqErEowQGjz341kVhP1V8nc3ZMLaB7PX47rlbV24/dY8f/ryAjZm+rOMEYPvpCAz1tenZyJ2xXf1IfJHJuZtRzN5yTe2xq5JyNsZsausnez2hthsA20IiGXUkFBsDHeyNX0870tbQYFxNV2yNdEjNyuFWbAo9/rrGuQKO8PqU8DIz5rdavrLX3/jm/pq970EUMwLDsNTTkXWcALRyskVLQ4OR5d0YWd5Nlv4qf3Ei9UEEEfPnyF5Hbt8CgFm1Gjj06ktWYgIZcfJbLofPnCr7d9qD+yRcPI+2hSWeP81ST9BqIiniPld/mSd7Hb55KwAlalTH66sAMuITSHv+eiStvrUVvt8OJXzTVh4fPoquuRmevXtiUdZH7bGrmsR797k46/XOl6EbtwFQsmY1fPsHkB6fIOs4ATCwtqLid0O4tXEb9w8dQ8/cDJ8+PbDyLX5uBKpDIs07TlQgEBQYJ7+fCzuEIklE0GisPb8r7DCKHDGhv2Ls3OfdGT9Dku6tpGTZCYUdRpHkSfA03Gv/UdhhFEnCTg3Etdfmwg6jyBG+pjNOi04UdhhFkoihdan11+nCDqNIcrp1LdofOVXYYRRJtjeszYDTxws7jCLJslr1+OZc8fjh4GOysHr9wg7hP+Ne+TeV1h92aZhK6/8YiGk4gs+OiIgIJBKJbA2X48ePI5FIiI+PL9S4BAKBQCAQCAQCgUBQNBAjSwT/iYCAAFavXi17bWFhQZUqVZg9e7bCLYmLAhERETg7OxMYGIifnx8ZGRk8f/6cEiVKFNn5c+vXr2fFihXExMTg5eXFhAkTlPrt2bMnFy7knzpRt25dli1bpupQ1c77uAFITEzk119/5dChQ8THx2Nvb8/YsWOpW7eu0jKfKsKNYoQX5byPmx07duRb6FpHR0du2/jihHCjnPd9pl6xd+9eRowYQcOGDVmyZIkaIlU/wo1ixPOkHOFGOcKNevGoslil9d++OESl9X8MxJolgv9M06ZNZTvNREZGMn78eFq0aMGDBw8+qL7s7GzZ7j7qQEdHB1tb2w8qu/fh/o8cTX4Cj11hw+z1dPy2E6XLOHJy+wl69enF6JVjMTY3zpe/5ejWNM96vd3ri8QU5gz4BbuqJdUSL4B/qWYcfrxP5ee5fCyQNT+vp8vwjjiVceTYSzeTVo9R6CYrM4u53yzE2MyInhO6YGZlxvOo59yT3Cbz8du3Sf0YNLJvzrnovSo/D8D5I4H8OXMDvUd2xMW7NP9sPUnvPr34ecNoTJS4mT74N4zNjBgwuQtm1qY8i3xOpHYo56KTVR5vdRt/LsWq3s25w4H8PnMDfb/viKt3aQ5sOUnvvr2Ys3E0pkq8TPn6N0zMjRg0tQsW1qbERj4nVieUS7Gq9wJQ2cqf4Lg9Kj/PmUOBLJy5kYE/dsDdpzR7Np0ioG8vftv8I6YW+d08SgnCwFCPhVt+lKVJkKgl1leUNW9BSLzqz3f6UCDzZ25k0I8d8PApze6XbhZv+REzBW6evMh1s3irvBt1xApQxqwFYQnqOdfJQ4HMm7mRIaM74OlTmr9euvljq2I3r4h68pzpPy/Cx8+FlMxItcXrbircKMPdtAW31XCuU294efN5+l2Jl8jU3Ofp9zeeJyQStcT6Cg/TFlx7roZ2+HAgi2ZuZMAPHXDzKc3ezbluFmxS3A4/TAlC31CPBZvfaGskErXE+opyFi0IfKb68509HMiSmRvp932um30v3czbqNjN/eRcN79ukr9v1BErQAXLFu/OJCjyiGk4gv+Mrq4utra22Nra4ufnx+jRo3n48CExMTEKp7gEBQUhkUiIiIgAYNWqVZiZmbF79268vb3R1dXlwYMH1KtXj+HDh8udq02bNnILsTo5OTFjxgz69u2LsbExpUuXzjd64sKFC1SoUAE9PT0qV65MYGCg3PtFfRrOie3Hqda8OlWbfoGtoy0dhndEW1eHCwfOK8xvaGKIiYWJ7Ai9HIq2njbl6/ipN3A1cGTrcWo0r071Zl9g52RLl+86oqOrw7n9it2c23+eF4kvGDjtK1zLumBpa4F7eTccXO0V5v+UObj5BHVbVqO2f1XsnW3pPaoDOnranFSyYOvJvRdITnzBNzP74l7OGWs7C7wquFHarXi52b/5BPVbVqOuf1UcnG3p+30HdHW1ObFHsZfje3K9fPdzXzxfeilTwQ1H9+LlBeDvjSdp1LoaDVpUpZSzLQN/bI+unjZHlLgBQALmliayw8xS+RfAT5m/Np7ky9bVaNiyKqVcbBk0+qWbv4WbXRtO0qRNNRq3rEppF1uGvHRz6C1usrNzmDNxPd37N8HW3kKN0aoX4UYxr7w0eullcAG8SCRgbmXy+iimz9OejSdp2Koa9V+2wwN+aI+OrjZH39IOS/K2NW/piPuU2bvpJA1aVaNei9zP734v3Rx/hxszS5PXRzF1ozIkEtUenwBiZIngo5KcnMy6detwc3PD0tKywOVevHjBrFmzWL58OZaWltjY2BS47Ny5c5k2bRpjx45l27ZtDBo0iLp16+Lp6UlycjItWrSgcePGrFu3jnv37vHtt99+yKUVClmZWTy6/YiGXV9vAaehoYFHRQ8ibkYUqI7z+89ToV5FdPVVv9WxOsnKzOLh7Uc06SbvxquSO3dv3ldY5trZGzj7OLF5wTaunQ3GyNSIyg0r8mWXhmhoFp++46zMLCJuP8K/x+vt8TQ0NPCp7EH4jQiFZYLOBOPm48jaedsJPB2MsZkR1RpVxL97g2LjJiszi3uhj2jVU95L2coehAVHKCxz5XQw7mUdWTV3O5dPBWNiZkSNxhVp2aP4eAHIzMwiPPQRbXu/3vFFQ0ODclU8uH1d8fMEkJaawcA2PyHNycHF04Fug5pT2uXDRuoVVTIzswi/9Yj2edyUr+JB6Dvc9G/9Ezk5Obh6OtBjcPF0c+fWIzrmceNXxYNbb3GzacU/mJob8WXrL7gRdFcdoaod4UYxr7x0UODlbc9TamoGfVvltjWuXg70HNQcR9fi9zzdDX1E214K2uHgt7c1g9rmunH2dKDb180pVczamlef3216yrvxLYCboW1/Ikeag7OHA12KoRuBaik+f+kJCo09e/ZgZGSEkZERxsbG7N69m82bN7/XNJrMzEyWLFlCjRo18PT0xMDA4N2FXtK8eXMGDx6Mm5sbP/74I1ZWVhw7lrsq94YNG8jJyWHFihX4+PjQokULvv/++/e+xsIiJSGFnJycfFNKjM2NSYpLfGf5+7fuExnxlC+aV1NViIVG8lvcJD5X7ObZ02cEnrhKTo6UwTMH0Kznlxzdepz96/5RR8hqIykhhZzsnHzDUk3MjUl4lqSwTPST51w8cY2cnBxG/NKfVr0bc2DzcXavOaSOkNVCUrwSLxbGJDxX7uXC8VwvP8zpT5uAxuzbdJydq4uPF3jtJu+vbqbmRsQruWfsHW0YMq4zo2f34dvJ3cnJkTKu/288i45XQ8TqQ6kbCyPilNw39o42DBvfmTG/9OG7Kd3JkUoZ3e83YqPi1RCx+khU4sbMwog4JffNjaC7/LP7AsPGdVRHiIWGcKOYV17M38OLQ2kbvh3fmfFz+jBiam5b80MxfJ6UfUaZWihvh0uWtmHw2M78MKsPwyZ1R5ojZdyA4tcOJ77NjZJ2uGRpG74e25lRs/owdFJ3pFIpEwcWPzcqRUPFxyeAGFki+M/Ur1+fpUuXAhAXF8eSJUto1qyZwkVGlaGjo/PBC8K+WU4ikWBra0t0dDQAISEhlCtXDj09PVme6tWrv/c50tPTSU9Pl0vT1S36IzXO7/8XO2c7HL0cCzuUIoFUKsXY3IhuIzqhoalBaY9SxMcmcHjzUfx7Ny3s8AoVaY4UEzMj+nyf68bJsxRxMQns33iMNn2aFHZ4hYZUKsXE3Ih+P+R6cfYqRVxsAns3HKN938/XC4CnrxOevk6vX5dz4tsus/hn5zm6DmxWeIEVAbx8nfB6w41XOSeGdp7FwZ3n6P715+vmRUoa8yZtZNjYjpiaGRV2OEUK4UY5XuWc8CrnJHtdppwTgzvN4sDOc/T4jJ8nUNwOD+8yi0M7z9HlM2+HPXyd8HjDjYevEyO7zuLwrnN0HvB5uxEUHNFZIvjPGBoa4ubmJnu9fPlyTE1N+fPPP/nyyy+B3C8cr8jMzMxXh76+fr6daDQ0NMi7WZOistra2nKvJRIJOTk5738hb2HmzJlMmTJFLm3SpElU+eqLj3qevBiaGqKhoUFSnHyveVJcEsbmJm8tm56aTtCxQJoGFM8PBKO3uDGxUOzGxMIETS0NuekTtqVLkPg8iazMLLS0i0eTaGxqiIamRr7REolxSZgqmedtZmmMppamnJuSTiVIKEZujM2UeHmepHBxOFDixbEE8c+Kjxd47SbvL3QJcckFXmtDS0sTZw97nj6KVUWIhYZSN8+T8/06rgwtLU1cPOyJLGZuTJS4iX+erHBNicjHz4h6+pypI/8nS5Pm5H7Ot6r+PX9s/RE7ByvVBq0mhBvFvPKSd1SWMi+KePU8Fde2Ju9nVMLz92+HIx8XLzcmb3PzHu2wk4c9UcXsvlEpn8i6IqrkExkAI/iUeLWTTWpqKtbW1gA8ffpU9n5QUFCB6rG2tpYrl52dTXBw8HvFUqZMGa5du0ZaWpos7d9//32vOgDGjBlDQkKC3JF3OzJVoKWthYOHA2FXwmRpOTk5hAXexsnb6a1lr54MIiszi0oNK6s4ysJBS1uLUh4OhF65LUvLyckh9EoYLt6KR9K4lHUm5nGsXGda9KNoTC1Nis2XXsh14+ThwM3L8vfNzcthuPo4KSzj7utMVB43kQ9jMCtGbrS0tXD2dODGJXkvwZfDcC/rpLCMh68zUY+KtxcAbW0tXD0duH5R3s21i2F4+BZsZFp2dg73w59ibvn2jtxPDW1tLVy9HLimwI3n+7qxKn5u3LwcuJrHzdVLYXgpcOPgaMOijaNYuG6E7Piitje+lVxZuG4EViXM1Bi9ahFuFPPKS97n6eql93ueIoppW+Pi6cD1PJ9R1y+F4VG24G4ehD/FrJi5efX5HZzn75rg93CTk53Dw2Lo5nNh5syZVKlSBWNjY2xsbGjTpg2hoaHvLLd161a8vLzQ09PD19eXffveb7dO0Vki+M+kp6cTGRlJZGQkISEhDBs2jOTkZFq2bImbmxulSpVi8uTJhIWFsXfvXubOnVugehs0aMDevXvZu3cvt27dYtCgQe+9Y023bt2QSCT079+fmzdvsm/fPubMmfPe16irq4uJiYncoa5pOHXb1+Pffee4+M8Fou5Hsm3BVjLSMqjaNHdUy4af17Fn+d/5yp3ff56yNX0xNDVUS5yFQcOO9Tiz91/+PXiByPtRbJq/jfS0DKq9dLN65nr++vP1FnF1WtXgRdILti3aSdTDaIL/vcHBDYep07pWYV2CymjSuS4n9vzL6f0XeRIRxZq520hPzaB286oALPtpA1t/f+2mfpsapCS+YP2CXUQ+iCbo7E32rD1Mg3Y1C+sSVEKzznU59ve/nNx3kccRUayck3vP1PXP9bJ02gY2LX3tpVHbGiQnvmDt/F08fRBN4Nmb/LXmMI3bFy8vAC271uHw7vMc23uRR/eiWDZ7O+lpGTR46WbhlA2sW/J6e+ctK/4h6HwokY+fcffWIxZMXk9sZByNWqt2xF1h0LprHQ79dZ6jey/y8F4Uv8/aTlpaBg1b5LqZP3kDaxe/drN5+T8E/pvrJvzWI+ZPWk9MZByNWxU/N2261eHgX+c5sifXzZJZ20lLzaDRSzdzJ21g1Us3OrraOLnayR2GxvoYGOji5GqHdjHqgAThRhnv8jJv0gZWv/E8bVz+D1dePk93bj1i3svn6cti2Na06FqHI7vPc3zvRR5FRPHny3a4/ks3v03ZwPo32uGtK/7h6vlQoh4/427oI36bkuumYTFsa/y71OHo7vOcePn5veKXXDd1X7pZPHUDG5e+drP9f6/d3At9xKKXbhoUQzcqowjthnPixAmGDBnCv//+y6FDh8jMzOTLL78kJSVFaZmzZ8/StWtXvvrqKwIDA2nTpg1t2rR5rx/fi0/LKyg0Dhw4gJ2dHQDGxsZ4eXmxdetW6tWrB8DGjRsZNGgQ5cqVo0qVKvz000907Pjuxcv69u3L1atX6dWrF1paWnz33XfUr1//vWIzMjLi77//5uuvv6ZChQp4e3sza9Ys2rdv/97XWVhUqF+R5IQUDqzaT2JcIvau9gyYOVC2sGlcdBwSDfkGJ/phFPeC7zJw1qDCCFltVKpfgaT4ZPasPEDSSzdDZg3ExEKxG3Mbc4bM+prtS3Yxo98vmFmZUq9dHb7s0lDZKT5ZvmiY62bnigMkPE+ktJs9I+cMkE03eRYVJzf1zbKEOaPmDmTDb7sY32cO5lamNO5QB//uDZSd4pOkeqNcL9uW53pxdLfnx7lv9zL614GsXbCLMb1zvTTtWIeWPYqXF4CajSuQEJ/Cpj8PEv8sEWd3e8b/2l82/Ds2Ml7OTUpSKktnbiX+WSJGxga4eDkwfdkwSjkXv50Gar10s3HZQeKeJeLsYc+k+a/dxETFy7U1yUmpLJm5lbiXbly9HPj5z2HFcheGOo0rkBCXwrqXblw87Jm6oL9sSkVMVDwaGu/3R3FxQbhRTO2XXta/4WVKHi9yz1NiKotmvH6e3Mo4MHv5sGK3uxRAzUYVSIxLYfPy3HbYyd2ecb/2l001ic3jJiUpld9/zm2HDYt5O1yjUQUS41PY+udB4l9+fo+ep9xNclIqf/68lfjnL914OjD1j2E4FEM3KqMIDas4cOCA3OtVq1ZhY2PD5cuXqVOnjsIyCxYsoGnTprLNPaZNm8ahQ4dYtGgRv//+e4HOK5HmXRRCIBAUmL0P9xd2CEUS/1LNOPz4/Ya5fQ40sm/Ouei97874GVLdxp9LscKNIipb+RMct+fdGT9Dypq3ICReuMlLGbMWhCUIL4pwNxVulOFu2oLbwo1CPExbcO25cKOIchYtCHwm3OSlgmWLwg7hP+NRq2AdCh/K7dNff3DZO3fu4O7uzvXr1ylbtqzCPKVLl2bEiBEMHz5cljZp0iR27drF1atXC3QeMbJEIBAIBAKBQCAQCAQCgQypihd4Vbbb6LuWOsjJyWH48OHUrFlTaUcJQGRkJCVKlJBLK1GiBJGRkQWOUYws+cyJjIxk+vTp7N27l8ePH2NjY4Ofnx/Dhw+nYcPiNzXhU+TixYusWLGC4OBgYmJiWLx4MY0aNXprmfPnz/Pzzz8TFhaGnZ0dgwYNol27dmqKWL2sX7+eFStWEBMTg5eXFxMmTHjrNtSrVq1i48aNPH36FHNzc5o0acLIkSM/ia2g35f3cdOzZ0+F233XrVuXZcuWqTpUtSK8KOd9n6fExER+/fVXDh06RHx8PPb29owdO5a6deuqMWr1INwoR7hRjnCjGOFFOcKNcoQb9eJe+w+V1t+94VOFu41Onjz5reUGDRrE/v37OX36NA4ODkrz6ejosHr1arp27SpLW7JkCVOmTCEqKqpAMYrOks+YiIgIatasiZmZGVOnTsXX15fMzEwOHjzIsmXLuHXrVmGHKCM7O1u2y05R4uszx1R+jmfXgkm4E46xY2mCF/9B2aFfY13RT2n+1JhYLkyYin29OtjVqUlcyC3ubNyK7/AhWJb1UXm8AL/XrM/PVw+p/Dx3z17m1KK11OjfGWt3J27sPUbEv4G0mz8RfdP8W8mFn77ImaXrqTmoOzYeLiQ+jebUkrW41KhE1d6qX8dmdPnGrA47qPLzANw8eYW/562l6ZDOlPR05OJfJ7h1OpCBf4zH0Cy/m9SkFLKzsl+/Tkxh+bBZ+H/TlXKNVL8YWm/3JmqZ1hZ47AobZq+n47edKF3GkZPbT3D1ZBCjV46VrQP0JimJ8l5eJKYwZ8AvdBrZmapN1LNInH+pZpyJUv0UpQtHAlk+YwM9R3bExbs0h7ae5NKxq8xYPxoTBW6yMrOYMeQ3TMyM8O/ZCHMrU55FPUffSJ/SbvYqjxegZgl/zqthatu/RwJZNn0DASM74updmoNbT3Lh2FVmb1DuZtrgXDctezbC3NqUZ5HPMTBWj5svbPy5EKOeaW3/Hgnkj5820GdUrpsDW1662TgaUyVupg76DRNzI1q9dBMb+RwDI30c3VXvpqq1cKMMdbn51LyAcPM2qlqrZxrtucOB/P7TBvp+/9rN+WNXmfMWN1O+fummVyMs1OymspW/ys+hatzrqLazJPhQwHuPLBk6dCh//fUXJ0+exNnZ+a31f4xpOEXrm6dArQwePBiJRMKFCxdo3749Hh4e+Pj4MGLECNn2uvPmzcPX1xdDQ0NKlSrF4MGDSU5OltWxatUqzMzM2LNnD56enhgYGNChQwdevHjB6tWrcXJywtzcnG+++Ybs7NdfONLT0xk1ahT29vYYGhryxRdfcPz48Xz17t69G29vb3R1dXnw4AFxcXH06tULc3NzDAwMaNasGWFhr7cRA9i+fTs+Pj7o6uri5OSUb/cdJycnZsyYQd++fTE2NqZ06dJF+hdiy3JlcWnXGutKFQqU/8nxk+hbW+HWpQOGJe1waFgf68oVefTPERVHqn5u7DmKR8MauNevjpmDHTX6d0FLR4ewY+cU5o8OvYeNpwuutapgbGOJffkyuNSsTMyd+2qOXPVc2HUMvyY1KN+4Gtal7Wg2pBNaujpcPaR462x9Y0OMzE1kx72gW2jrauNVy0+9gauYE9uPU615dao2/QJbR1s6DO+Itq4OFw6cV5jf0MQQEwsT2RF6ORRtPW3K1/FTb+Bq4OCWE9RpUY3azati72RLr5Ed0NHT5tTe/CNrAE7tu0BK4guGzuiLu68zVnYWePq5qa2jRJ0c2HyCei2rUce/KvbOtgSM6oCunjYnlLg5uTfXzbcz++JRzhlrOwu8KhRPN/s3ybvp832um5N7FLs58dLN8DfclKngprYvdupEuFGM8KIc4UY5+zefoH7LatT1r4qDsy19v++Arq42J5S4Ob7nAsmJL/ju5754FnM3nyrvs9uoVCpl6NCh7Ny5k6NHj76zowSgevXqHDki//3n0KFDVK9evcAxis6Sz5Tnz59z4MABhgwZgqFh/q1lzczMANDQ0GDhwoXcuHGD1atXc/ToUX744Qe5vC9evGDhwoVs2rSJAwcOcPz4cdq2bcu+ffvYt28fa9eu5Y8//mDbtm2yMkOHDuXcuXNs2rSJa9eu0bFjR5o2bSrX8fHixQtmzZrF8uXLuXHjBjY2NgQEBHDp0iV2797NuXPnkEqlNG/enMzMTAAuX75Mp06d6NKlC9evX2fy5MlMmDCBVatWycU8d+5cKleuTGBgIIMHD2bQoEEF2qv7UyAh/C7mZbzk0ix8vEkIv1tIEamG7Kwsnt19SElfT1maREMDO19Pom/fU1jGxtOZZ3cfEnMnAoCkqFgeBd7AoYJ6Rtyoi+zMLJ7eeYiTn7wbZz9PHt9S7CYvV//5F+86ldDRKz7Tk7Iys3h0+xEeFT1kaRoaGnhU9CDiZkSB6ji//zwV6lVEV7/4eIFcN/dvP8K7srwb70oehN+IUFgm6HQwrj6OrPt1O8NbT2RC79nsWXuYnOwcNUWtHrIys4i4/QifSnncVPbgjhI3V84E4+bjyJp52xnaaiJjes1m95pi7CbPfePzNjeng3Er68jqudsZ0nIio3sKN6/4HNwIL8oRbpSTlZnFvdBHlK0i76ZsZQ/CgiMUlrlyOhj3so6smrudQS0m8mOP2fy1uvi5USkaEtUe78GQIUNYt24dGzZswNjYmMjISCIjI0lNTZXl6dWrF2PGjJG9/vbbbzlw4ABz587l1q1bTJ48mUuXLjF06NACn1cs8PqZcufOHaRSKV5eXm/N9+awJScnJ3766Se+/vprlixZIkvPzMxk6dKluLq6AtChQwfWrl1LVFQURkZGeHt7U79+fY4dO0bnzp158OABK1eu5MGDB5QsWRKAUaNGceDAAVauXMmMGTNk9S5ZsoTy5csDEBYWxu7duzlz5gw1atQAcuculipVil27dtGxY0fmzZtHw4YNmTBhAgAeHh7cvHmTX375hYCAAFnMzZs3Z/DgwQD8+OOP/Prrrxw7dgxPz9dfLj9VMhIS0TE1kUvTMTUmOzWN7IwMNHV0Cimyj0t6YjLSnBz080wp0TczIeGJ4nmIrrWqkJ6Ywr4JvyJFijQ7B8/GtSjfrok6QlYbLxJTkObk5JtuY2hmzLNH756j+ST0PjH3n+L/TTdVhVgopCSkkJOTk2+6jbG5MdEP3+3l/q37REY8pfOoLqoKsdBISkghJzsn35QSEwtjnj6IVlgm5ulzQgLvUK1RRYbP7k/0o1jW/rqd7KxsWvcpPs+UzI2FvBtTc2Oe3lfi5slzQiLvUL1xRUb+0p+oR7Gsnred7Oxs2hZDN6YW+e+bJ29zcyXXzahf+hP1OJbVc7eTlZVNu77CTXF3I7woR7hRTlL8W9wo+YyKfvKcm1fuUOPLivwwpz+Rj2JZNXc7WdnZtC9Gbj4Xli5dCkC9evXk0leuXCn7jvfgwQO5JRtq1KjBhg0bGD9+PGPHjsXd3Z1du3a9dVHYvIjOks+Ugi5Vc/jwYWbOnMmtW7dITEwkKyuLtLQ0Xrx4gYGBAQAGBgayjhLIXWXYyckJIyMjubTo6NzG7Pr162RnZ+Ph4SF3rvT0dCwtLWWvdXR05BZtCgkJQUtLiy++eL1OgKWlJZ6enoSEhMjytG7dWq7emjVrMn/+fLKzs9HU1ASQq1cikWBrayuLTxHKVmsWfFo8vXGbazsPUr1fZ6zcHUmKjOX8ym0EbduPX4dmhR1ekSHo0DmsnUpS0tOxsEMpUpzf/y92znY4egkvANIcKSZmRgR83wkNTQ2cPEsRF5vAgY3HilVnyYeQkyPF2MyIvi/dOHuWIi4mgX0bjxWrzpIP4dV989UPL9145brZu/FYsfpy9yEIN4oRXpQj3ChHKpViYm5EvzfdxCawd8Mx0VlSUFS8G877UJDvrm8u6fCKjh070rFjxw8+r+gs+Uxxd3dHIpG8dRHXiIgIWrRowaBBg5g+fToWFhacPn2ar776ioyMDFlniba2tlw5iUSiMC0nJ3fYW3JyMpqamly+fFnWefGKNztY9PX1kajoIX1bfIqYOXOmwtWaaVz0VtPWMTUhIyFRLi0jIQlNfb1iM6oEQNfECImGBqnxSXLpqfGJ6JuZKCwTuHkvrnWq4tEwd2SSRWl7stLSObNsI+XbNUFSxBYQ/lAMTAyRaGiQksdNSnwShgoWQXuTjLR0Qk5eoXb35qoMsVAwNDVEQ0ODpDh5L0lxSRibK75nXpGemk7QsUCaBhTPTjVjU0M0NDVIzOMm8XlSvl/yXmFqaYymliYamq+fGzvHEiQ8TyIrMwst7eLxJ4bMzXN5NwlxSZhaKnZjpsBNSafi6ybhef77xkyJG1MrY7Q087hxLEHCM+Hmc3AjvChHuFGOsZlyN8o+oxS2w44liC9mbgSqpXh8MxC8NxYWFjRp0oTFixeTkpKS7/34+HguX75MTk4Oc+fOpVq1anh4ePDkyZP/fO4KFSqQnZ1NdHQ0bm5ucoetra3ScmXKlCErK4vz518vxPjs2TNCQ0Px9vaW5Tlz5oxcuTNnzuDh4ZGvY+Z9GDNmDAkJCXLHm3PiihKmri7Ehch3gj2/GYKpq0shRaQaNLW0sHQpxdPg12vNSHNyeBp8GxsPxYs+ZaVn5Oslf9VBUpy2BdPU1sLOrRQRV2/L0qQ5OURcDcXe6+0LYt06HURWZhZl61dRdZhqR0tbCwcPB8KuvF4bKScnh7DA2zh5O7217NWTuV4qNays4igLBy1tLRw9HAi5LO8m5EoYrj5OCsu4+zoT/ThWrqM56mEMppYmxeqPUC1tLZw8HLiRx83Ny2G4KXHjocBN5MMYzIqpm5t53Nx4h5so4UZhmc/BjfCiHOFGOVraWjh7OnDjkryb4MthuJd1UljGw9eZqEfF341Kkaj4+AQQnSWfMYsXLyY7O5uqVauyfft2wsLCCAkJYeHChVSvXh03NzcyMzP57bffuHv3LmvXruX333//z+f18PCge/fu9OrVix07dnDv3j0uXLjAzJkz2btX+dZj7u7utG7dmv79+3P69GmuXr1Kjx49sLe3l029GTlyJEeOHGHatGncvn2b1atXs2jRIkaNGvWfYn6f1Zo/NllpaSQ9eEjSg4cApMXGkvTgIWnPngMQvm0nN/9cKctfsl4dUmNiubNlOylPI3l89DgxFy/j8GVDtcSrTnxaNOD2kbOEHf+X+EeRnF2+maz0dNzrVQPg5KI1XNrwlyx/qUplCT10mrtnLpEUHcvjayFc2byHUpV8i9y21P+Vqm3qE3TwLNeOnCf2YST7l2whMy1Dtg3w7rlrObZqd75yQf+cw6NaOQxM8i/8XByo274e/+47x8V/LhB1P5JtC7aSkZZB1aa5Xjb8vI49y//OV+78/vOUremLoWnx9ALQpFNdTuz5lzP7L/IkIoq1c7eRnppBreZVAfhz+ga2/bFHlr9+6xqkJL5g48JdRD6M5uq5m+xdd5gGbWsW1iWojKadc92c2n+RxxFRrH7pps5LN3/8tIEtv79206BNDZITX7BuwS6ePogm6OxN/l57mEbtip+bZl3qcvzv125WzXnpxj/Xze/TNrD5DTcNFbjZLdwAn48b4UU5wo1ymnWuy7G//+Xkvlw3K+dsIz0tg7ov3SydtoFNS1+7adQ2183a+bluAs/e5K81h2ncvvi5EagO0a32GePi4sKVK1eYPn06I0eO5OnTp1hbW1OpUiWWLl1K+fLlmTdvHrNmzWLMmDHUqVOHmTNn0qtXr/987pUrV/LTTz8xcuRIHj9+jJWVFdWqVaNFixbvLPftt9/SokULMjIyqFOnDvv27ZNNq6lYsSJbtmxh4sSJTJs2DTs7O6ZOnSq3uOunRlLEfYJm/yp7fWdT7q5CtjWrUearADISEkh//lz2vr61FeWGD+HOpm08OnwMXXMzPAN6YFm2eO34AuBSoxJpickEbtlLanwSFk72fDl2iGwaTkrsc7mpXOXbNwWJhCub9vDieQJ6JkaUqlSWil1bFtYlqAzvOhV5kZDMyXX7SIlLpISLA52nDsLo5XSTxJg4JHlWIn/2KIpHN+/SddrgwghZLVSoX5HkhBQOrNpPYlwi9q72DJg5ULboa1x0fi/RD6O4F3yXgbMGFUbIaqNqwwokxSez638HSHieSCk3e76bM0A2xPl5VBwabzxPFiXMGTFnIJsW7WJinzmYW5nSqEMdmndrUFiXoDKqvXSzY0Wum9Ju9nz/hptnUXFybY1lCXO+nzuQDb/tYvxLN192qEOL7sXXzfblb7iZm8eNhrybH+YNZP3CXYwLyHXTpKNwA5+PG+FFOcKNcqo3ynWz7aUbR3d7fszrJk87PPrXgaxdsIsxvXPdNO1Yh5Y9ip8blfGeO9YURyTSgq70KRAI8vH1mWOFHUKR5Pea9fn56qHCDqPIMbp8Y1aHHSzsMIokvd2bsPfh/sIOo0jiX6oZZ6KUj7r7nKlZwp/z0cJNXr6w8edCjPCiiKrWwo0yhBvlCDfKqWrtz6VY4SYvla38CzuE/4x7o+UqrT/scD+V1v8xKF7jztWIk5MT8+fP/8/1TJ48mRIlSiCRSNi1a5fKz1dcmDx5Mn5+fm/NExAQQJs2bWSv69WrJ7cVskAgEAgEAoFAIBAIFCCRqPb4BCj0aTiRkZFMnz6dvXv38vjxY2xsbPDz82P48OE0bPjx1lioV68efn5+au9wePToES4uLnh4eBAcHCz3XkhICFOmTGHnzp1Uq1YNc3NzpfVcvHgRQ8PCnSs/efJk2Y4wGhoalCxZkmbNmvHzzz9jYWFRqLEVhB07duTbBee/8nvN+h+1vuLE6PKNCzuEIklvd7FdnTL8SxXPnWY+BjVLfPq/UKmKL2yEG0VUtRZelCHcKEe4UY463Fy8eJEVK1YQHBxMTEwMixcvplGjRkrzR0dHM2vWLIKD/8/eWUdHdfQB9G7cHUgIxIgSwSW4NhT3QrEABQoUStFiBSqEtkBxK+5SpJTgkuCeoAmEQNC4u39/bFjYsAvhg92E5d1z3jns7Lw3v3eZN5udHbnN48eP6devH1OnTlV4nMVRxiiK93UDcOnSJebMmUNYWBhWVlYMHz6crl27KjxWAdWhVDtLIiIiaNiwISYmJvz55594enqSm5vLkSNHGDly5Fu3tVUEhYWF5Ofno6Hx8bSsX7+enj17cvr0aS5dukS9evUk74WHhwPQqVMnuVvk5uTkoKWlRbly5T5aTB+Cu7s7x48fJz8/n5CQEAYNGkRycjI7duwo7dDeiSI6dMydR3/0a77OztXD2et/jeu3nqChoca0sR1wc7KiQdvZZGTmyDxnxdz+XL7+kMtBj8jOzmX0kFa0a+1Fw3Z+REYnKzTel8TfX4Rz/WUKLWP1X+3xPx7GrbsxaKirMXZ4fZwczGjbexuZWXkyz6nhacmW5Z2Zt/wiAece0/4LJ4b0q0GXAbsIe5gg85yPyf2LI3DsvFHh5TSpWZFaruW5HR7P8snN+dbvFMcvPZWb/+s2zkzsX5MpSy9y60EcXk4W/DbSm7Hzz3DyyjOFxwvwYF9/HEbvU3g5Td3KU8vBnNtPk1jxTT2G/X2JY7ci5eY31NFAW/PVTloa6iL8J7Vg4+mHLDyknM+oh4s6YzNf8VP+mtmZUbuiMbdiUvm7oyff/HuLo+FxcvPXr2TCzp41aLr2Imk5+ZL0uIwcpe0u9WRscxxXnFZ4OU0qm1LL0pjbsaksb+POt4fvcDwi/p3nGWqp82+3mjxOycRcV4uO/1xXeKwAD75tQrXNZxReTsOKplQvZ0RIQhp/Na3KmIC7nHom34urqT52xnqEJaaTmZdPjfJGTK/nxJ9XH7L7QZTC4wW40bcxDfacVXg59SuY4mVuSGhSOnPqu/HjhbucjpT/OfO9lz1xmTlcj0smNSePdnYV+NrJmiGnbnA/+c1dCxXB+a6N8DmieDe1LUxxNzEkLCWdGTXcmBl0lwsx8t1862pPfFYONxKSScvLw8e6At3srPn+4g3CU5Xj5ohPI/oGBiq8nKRbt0jT1cW4e3dily/nr9u3Wf+WH/qy4+KIyshAv3lzdI8f58jz54QoIc7X2dy0KWMunlR4ObE3bpNooE2lXl2JXbySNfducsBA/iSJjNg4zk75hcotGlO/X3fi79xjytSp7I5/QTnPqgqPd0F9FVgb5dMY/KFQSnUazogRIxCJRFy+fJlu3brh7OyMu7s7Y8eO5eLFi5J8SUlJfPPNN5QrVw4jIyNatGjBjRs3JO+/nJKxadMm7OzsMDY2plevXqSmivfi9vX1JTAwkIULFyISiRCJRERERBAQEIBIJOLQoUPUqlULbW1tzp49S3h4OJ06daJChQoYGBhQp04djh8//t73V1hYyLp16+jXrx9ff/01a9askYq5QwfxopJqamqSzpKXU0d+++03KlasiIuLC/DmNJykpCSGDRtGhQoV0NHRwcPDgwMHxCtAx8fH07t3b6ytrdHT08PT05Nt27ZJxdasWTNGjx7NxIkTMTMzw9LSkpkzZ77znjQ0NLC0tMTa2ppWrVrRo0cPjh2TXpti9erVuLm5oaOjg6urK8uWvfrSHBERgUgkYvv27TRo0EASe+BrDfv69esxMTGRuua+fftkdiitXLmSypUro6enR8+ePUlOlt8ZUHwaTnZ2NpMmTaJy5cpoa2vj6Ogo9X9UFuj5zXK27b3MvQdR3Al9wXeTtlDZ2oxq7pXlnvPt+I2s3XqW2yHPCXsYw/dTt6GmpkYTb2clRq54vvnhAHv97/HgUSKhD+KZ9MsJrK0McXeV37E44Csvzlx8wpotwYRHJLJw1WXu3oulb3dPJUaueE5ff8FfW4M59pYOktfp3MyBbUfCOHgugqfRafifjWDH0fsM7eKh4EiVT2BIDPP9Qzh6U34HyeukZuURl5otOTwrm2Ksq8mui48VHKnyCYhIYO75Rxx5IL+DRBbxmbnEZuRIDlVcCO3000T+uhLBsRJ0kLzOL02c2P8ghqDoVAVFVrqce5HI0huPOfm0ZF5CE9M5HBFLeHIGL9Kz8X8Uy/kXidQsb6TgSJXPxehEVt19wukXJXOz8OYjtoQ9JyQxjWfpWay885inaZk0tCr7I3ffl6txiWx48ITzMSVzsyL0EbsinnM/JY0XGVmsC3vMi4xM6pdXPTcmnp5U6twZ0xo1SpRf28IC2169sPD2Rl1XV8HRlS7lqnng3L0TlrWrlyj/k5Nn0C1njlvv7hhUtMK2dTMs69Qg4sgJxQaqSqiJFHt8ApRaZ0lCQgKHDx9m5MiRMqeXvP5luUePHsTExHDo0CGuXbtGzZo1admyJQmv7QASHh7Ovn37OHDgAAcOHCAwMJA5c+YAsHDhQry9vRkyZAiRkZFERkZSufKrL5s//vgjc+bMISQkBC8vL9LS0mjbti0nTpwgKCiINm3a0KFDB548efJe93jq1CkyMjJo1aoVffv2Zfv27aSni3vAx48fz7p14u1eX8b0khMnTnDv3j2OHTsm6QB5nYKCAr788kvOnTvH5s2buXv3LnPmzEFdXfzrZ1ZWFrVq1cLf35/bt28zdOhQ+vXrx+XLl6Wus2HDBvT19bl06RJ//PEHP//88xsdH28jIiKCI0eOoKWlJUnbsmULP/30E7/99hshISHMnj2b6dOns2HDBqlzJ0yYwLhx4wgKCsLb25sOHToQH/9+f4Q+ePCAnTt38t9//3H48GGCgoIYMaLku3j079+fbdu2sWjRIkJCQli5ciUGBgbvFYOyMTLUASAxOaPE5+jpaqGhoUZiUsnP+RQxNBDXw+SUbLl5qntU4HyxkRJnLz6lhmcFhcZW1tHSVCc7N18qLSs7Hy8nczTUP40PM2XR09uWc/djeZGYWdqhlBkO9a3N1aEN2NKtGrUrGpd2OGWGbi4VqGykw+Krqtex9rFwNdWnWjkjrsYoZ9Tjp4QI0NNQJyVH9kjJzxkRoKuuTmqu4EZAPkkPHmLu7iqVZuFRlaQHD0spIoFPkVKbhvPgwQMKCwtxdXV9a76zZ89y+fJlYmJi0NbWBmDu3Lns27ePf/75h6FDhwLiDoT169djaCjePqpfv36cOHGC3377DWNjY7S0tNDT08PS0vKNMn7++Wdat361voKZmRnVqlWTvP7ll1/Yu3cv+/fv57vvvivxPa5Zs4ZevXqhrq6Oh4cHDg4O7Nq1C19fXwwMDCQdQsVj0tfXZ/Xq1VKdEK9z/PhxLl++TEhICM7O4tECDg4Okvetra0ZP3685PWoUaM4cuQIO3fupG7dupJ0Ly8vZsyYAYCTkxNLlizhxIkTUi6Kc+vWLQwMDMjPzycrKwuA+fPnS96fMWMG8+bNk8wHtLe35+7du6xcuZIBAwZI8n333Xd069YNgOXLl3P48GHWrFnDxIkT5ZZdnKysLDZu3Ii1tTUAixcvpl27dsybN0/m//Pr3L9/n507d3Ls2DHJfMfXHZZFRCIRv03tysVr4YSGlexXcYAZ4zsSFZNC4Pl7CoyudBGJYOqYRly7EfnW6TQW5nrEJUh3GsUlZmBhrqfoEMs0Z4Je0LOVI8cuPeFOeAIeVczp2doJLU11TI10iBU6BgAob6RDU7fyjNl4tbRDKRPEpGcz+dg9bkanoKWuRi/PiuzoUZ1O265xOyattMMrVWyNdZhQz55e/94gXxWH2nwgR7vUxVRHE3WRiBW3HrP3QXRph1Tm+NrJGj0NdU4+f7+RXp8D3e2s0dVQJzBKcCMgn+zkFLSNpEetaRkbkZeZRX5ODupyvmcJvIbwe1npdZaUdMfiGzdukJaWhrm5uVR6ZmamZM0PEE9TedlRAmBlZUVMTEyJyqhdu7bU67S0NGbOnIm/vz+RkZHk5eWRmZn5XiNLkpKS2LNnD2fPvpr72bdvX9asWYOvr+9bz/X09JTbUQIQHBxMpUqVJB0lxcnPz2f27Nns3LmT58+fk5OTQ3Z2Nnp60l8Ivby8pF6XxJmLiwv79+8nKyuLzZs3ExwczKhRowBIT08nPDycwYMHM2TIEMk5eXl5GBtL/9ro7e0t+beGhga1a9cmJCTkrWUXx8bGRtJR8vKaBQUF3Lt3752dJcHBwairq9O0adMSlZWdnU12tvSIhZedd8rizxk9cHOyol3vhSU+5/uhrejSriYd+y0mW4V/nZoxoQlOVczoPXRvaYfySbJk500sTHT55/e2iEQQl5TFnlPhDOvqQUGB8E3vJd3qVSYlM5djJZzCo+o8TMzk4WsdadciU7A10eWbmpUZc/j92nNVQk0Ef7V0Y+HVx0QkCx2Nshh49Aa6mup4WRjxfQ07nqRmcTgitrTDKjO0rlSOQW42TLpwl8Ts3NIOp0zR3KocfavYMDPoLsk5ghsBAQHFUmqdJU5OTohEoncu4pqWloaVlRUBAQFvvPf6VJ3iu5yIRCIKCgpKFEvxaUDjx4/n2LFjzJ07F0dHR3R1denevTs5ObIX1JTF1q1bycrKklrQtbCwkIKCAu7fvy+3o0NWPMXRfcecxD///JOFCxeyYMECPD090dfXZ8yYMW/E//8409LSwtHREYA5c+bQrl07Zs2axS+//EJamviXxL///lvqvgHJFKGSoKam9kZnWm7ux/1AfJfD4vj5+Ul2AnrJy1E5yuD3n7rzRXN32vdZyIvopBKdM3JQC74f2oquvku5e++FYgMsRX4a15jmDe3o8+1eomPfvtBbXHwGFmbSnYYWpnrExav2FKV3kZ2Tz+Ql55m+/AIWJrrEJGbS6wsn0jJySEjJKu3wygw96tmy78pTcoWhAnIJjkqhzmc+FUdfUx2v8oZUtTBgRiPx56V4eraI0KGN8T1wi4svkko3yFLmebr4x4cHSRmY62gy3MtG6CwpolUlCybXdGTa5VCuxgrTk16nqaUFY9wd+S04lKAEwY3A29E2NiI7JUUqLSc5BQ1dHWFUSQkp/ES291UkpbZmiZmZGT4+PixdulSyjsfrJCUlAVCzZk2ioqLQ0NDA0dFR6rCwsChxeVpaWuTn5787I3Du3Dl8fX3p0qULnp6eWFpaEhERUeKyQDwFZ9y4cQQHB0uOGzdu0LhxY9auXfte1yqOl5cXz5494/79+3Lj79SpE3379qVatWo4ODjIzfuhTJs2jblz5/LixQsqVKhAxYoVefjw4Rv/V/b29lLnvb6Ab15eHteuXcPNzQ2AcuXKkZqaKlUvgoOD3yj7yZMnvHjxqhPg4sWLqKmpSRbFfRuenp4UFBRILSz7NiZPnkxycrLUMXny5BKd+6H8/lN32rX2onP/JTx5VrIdW0Z905LxI33oOXgFwbdLtsjnp8hP4xrTuqk9/b/7l2eR715AMfh2NN51KkmlNahbmaBbwhBwgLz8QqLiMygoKKR9IztOXn1OCQcBqjz1HC2wK2/AThVc2PVj4l7OgJj0kv+woIqk5eTz5Y6rdNh1TXJsuxtJeGIGHXZd40ZMyrsv8hmhJhKhqVaq+w2UGVpXsmBqLSdmXLnH+ajE0g6nTNHM0oJxHk7MuXGPy3GCG4F3Y+LoQPxd6SnocXdCMHEs29PuBcoWpfrptHTpUvLz86lbty67d+8mLCyMkJAQFi1aJJmm0apVK7y9vencuTNHjx4lIiKC8+fPM3XqVK5eLfm8cTs7Oy5dukRERARxcXFvHUHh5OTEnj17JB0cX3/9dYlHqYD4i/3169f55ptv8PDwkDp69+7Nhg0byMv7/6dENG3alCZNmtCtWzeOHTvGo0ePOHToEIcPH5bEf+zYMc6fP09ISAjDhg0jOloxXwa9vb3x8vJi9uzZAMyaNQs/Pz8WLVrE/fv3uXXrFuvWrZNa1wTE//d79+4lNDSUkSNHkpiYyKBBgwCoV68eenp6TJkyhfDwcLZu3cr69evfKFtHR4cBAwZw48YNzpw5w+jRo+nZs+c7p+CAuD4MGDCAQYMGsW/fPh49ekRAQAA7d+6UmV9bWxsjIyOpQxnTcP6c0YMeHWszdOxG0tKzKG9hSHkLQ3S0X40KWvZHX6aP6yB5PXpIKyaPacfoyVt58jxeco6+nmr1os+Y0ISObZwZO+M46ek5WJjpYmGmi7b2q1FMf/zUknHD60teb9hxk8b1KzPo62o42Jow6ps6eLiVY/M/t0rjFhSGno4GbvamuNmbAlC5vAFu9qZYWYhHrY3vW4M/v28oyW9X0ZBOTe2xtTLEy8mcBeMa42RjyrzNytnmVJnoaanjZm2Mm7V49ENlcz3crI2paCoebTahQ1Xm9q35xnk9vW0Jikjgfgk65T5V9DTVqVrOgKrlxAtdVzbWoWo5Ayoaitu6SY0c+KuNmyT/4BqVaF3FAlsTXZzN9ZnRzJEGlU3ZGPy8VOJXJHoaariZ6+NmLn6GKhvp4Gauj5WB2M34unb82VzcUV8IhCVmSB3xmblk5xcQlphBZl7J/54o6+hqqOFiqo+LqdiLtYE2Lqb6WOqJvYyubsevDV6NpP3K2Yqm1mbYGOpgY6hDlyoV6O9mjf+jkk2b/pTQVVfDyVgfJ2OxGyt9HZyM9amgK3bzrbst02u9ctO6Ujmm13Zm8a1H3ElIxUxbEzNtTfQ1Sj4y91NBR10NB0N9HAzFbix1dXAw1KecjtjNQCdbJni8ctPcqhwTPJ1Zde8RocmpmGppYqqliZ4KusnPyiLj6VMynop/6MqOiyPj6VOyizZBeLpnDw+L/ej6Mn9+dja5qalkPH1K5gvVG1Gcl5VFyuOnpDwWu8mIjSfl8VMy48U/JN7buY8bK9dL8tu0aExmTByhO/aQ9iKKxycCibp8HTuflqUR/qeJsBtO6U3DAfGCmtevX+e3335j3LhxREZGUq5cOWrVqsXy5csB8dSQgwcPMnXqVAYOHEhsbCyWlpY0adKEChVKvoPF+PHjGTBgAFWrViUzM5NHjx7JzTt//nwGDRpEgwYNsLCwYNKkSaSklPyXoDVr1lC1alWZi9d26dKF7777joMHD5b4erLYvXs348ePp3fv3qSnp+Po6CjZ/WfatGk8fPgQHx8f9PT0GDp0KJ07d37rtrofwg8//ICvry+TJk3im2++QU9Pjz///JMJEyagr6+Pp6en1Ja9IJ7CM2fOHIKDg3F0dGT//v2SkUJmZmZs3ryZCRMm8Pfff9OyZUtmzpwpWcz3JY6OjnTt2pW2bduSkJBA+/btpbYpfhfLly9nypQpjBgxgvj4eGxsbJgyZcoH+/iYDOrTGID/toyWSv9u0ma27RXvbmRtZSq1rsTA3g3R1tJg/ZLBUuf8vvgQfyw+pOCIlUefbuJtbbcs7yyVPumXE+z1F/+SYGVpQMFrQyOCbkUx7qfjjBlWl7Hf1ifiaRIjJx5666KwnyKejuZs+dVH8nrq4DoA7D75gEmLzlPOTJeK5V5N91NXU2NwJ3fsrY3Iyyvg4u0oev54iOcxb5/W9CniaWPKttGNJK+ndRVvG/3PpSdM3HKdckY6VDSVnqplqKNBm2pW/LxbtTrViuNVwZCdPV9tVzmjmRMAu+5EMu5IKOX1tSQdJwCa6mpMb1oFSwNtMnMLCIlL4+vdwVx4mqTs0BWOZ3lDtnR8tfD71AZVANh9L4pJp+5TrpibzwV3c0PWtH61/tmE2mIv/4ZH89OF+1joamGp/8qLmkjE6Bp2WBvokFdQyLO0LBYERfDPeyxa/qngamrI0iavtqX/3kv8a7b/42h+uxaGuY4WFfReuelkb4mGmhrjqzsyvrqjJP1lflXC2ciQP+u+cvOtq9jN0efRzLsdhpm2FuV0X7n5spLYzaiqjoyq+srNy/yqRPrjx9ybN0/y+umuXQCYe3vjMHAgucnJ5CRI/81y55dfJP/OePyYhMuX0TI3p5qfn3KCVhLJj55wec5fkteh2/4BwLpRfbyGDCA7OZms19zolbOg1tiRhGzdRcTRU+iYmuAxqC/lPKsqPXaBTxdRYUlXWhUQ+AhERERgb29PUFAQ1atXL+1wPhhz59HvzvQZEn9/Ec71S95x9blw/+IIHDtvLO0wyiQP9vXHYfS+0g6jTPJwUWds5p8q7TDKJE/GNsdxxenSDqPM8eDbJlTbfKa0wyiT3OjbmAZ7zr4742fI+a6N8DkiuJHFEZ9G9C3h1O3Pjc1NmzLm4snSDqPMsaB+i9IO4YNx7LBeodd/8J+vQq//MRAmiQp8UohEIvbt2/fRr+vr60vnzp0/+nUFBAQEBAQEBAQEBAQEPj2EkSUCSuVdI0uioqL47bff8Pf35/nz55QvX57q1aszZswYWrZsiUgkYu/evR+9Y8PX15ekpCSFdMR8KFeuXGHNmjXcvn2b2NhYli5dSqtWrd56zqVLl5gzZw5hYWFYWVkxfPhwunbtqqSIlYfgRjaCF/kIbt7Oli1bWLNmDbGxsbi6ujJ9+vQ3tpl/SW5uLitXrmTfvn1ER0djb2/P+PHjadKkiZKjVg6CG/m8jxuA9evXs23bNiIjIzE1NcXHx4dx48YpZS0wZSO4kY3gRT6CG/kIbpSLY8cNCr3+g/0DFHr9j4HQWSJQZoiIiKBhw4aYmJjw888/4+npSW5uLkeOHGHVqlWEhoaWuc6S7y4ofmh83M3bJIWFY2Rnw43FK6k26lvK16ouN39mbBznp/5MpeZNsG7akIS7odzfuovqP4zEwtNd4fECLPFuzojzynGTHBaOoZ0Nt5asxGvUt5SrWV1u/szYOC5OE7up2ETsJmzbLqqNGYm5Etwsa9Ccb88p3kv8zdskPwjH0NaG20tX4vHdu71cnv4z1s2aYNWkIYkhoTzYtgvPMSMx91BOnVnRUHAjjxUNmzP+kuKHOD+/eJXgVRvw9O2NaRV7Hh45SeTlazT/YybaRkZv5L+7Yy/Pz1/Ca1BfDKwqEHvrLne27qbR9AkY21VWeLwAc+u1YMb14wov58mFa1xctpHag3th7mjHvUOneHrpOu3mzUDH2PCN/MFb9/H47GXqDPkao4qWRN68S/CmPbSaNQ5Te8W7mVWzFX/cPKbwcgAenrtG4JJNNBz6FeUc7bjjf4pHF4PovvAndGW4CT9zhTPLt9B4eB/KuziQHBnDmaWbsG9Qi/q+3RQe70Sv1iy8c1Th5QCEnb3GiUWbaTrsKyo423LzQADh54PovXg6eiZvurl/+iqnlm6h+cg+WLrak/QihpOLN+PUqBYNByq+g/Z79y9YEaJ4N/fOXuPIgs20HP4Vls62XN8fQNj5IHyXyvYSGniVo0u28MV3fbAq8nJk0WZcGtei6SDldFx/6ya4kce3bl+wKvSIwssJPXOdwws20Wr4V1g523Ltv0Dunwti0LJpMt2EBF7lyOKt+Iz6moqu9iS+iOHwwi24Nq5Js8GKdzPU1efdmco4QmeJMA1HoAwxYsQIRCIRly9fplu3bjg7O+Pu7s7YsWOlthqOi4ujS5cu6Onp4eTkxP79+yXv5efnM3jwYOzt7dHV1cXFxYWFCxdKlZOfn8/YsWMxMTHB3NyciRMnUpb7DC28PHDs1onytWq8OzPw7NRpdMtZ4NK7OwYVrbBp1ZzytWvy5MgJBUeqfCy8PKjyHm6eF7lx6tUd/YpWVG7VnHK1a/LkqGq5MffywKFrJ8qV0MuLALEXxyIvlVqKvTxTMS8guHkbDw+fwKZZQ2yaNMDQ2gov396oa2vxJPCCzPzPzl3CsUMbKlTzQL98OexaNqV8NXfCDyu+80LZhPqfoEqLBjg088a4khV1BvdCQ0uLhwGy3UScuUzVzj5UrOGBQQULnFo3waqGO6H+qldvbh84iUvLBjg398a0shUNh4rd3D8p2030vUeUd3GgSuM6GJY3p1I1Nxwa1ibugepty33jv1NUbe2NW8v6mFW2oumwr9DQ1iJUjpuoew+xdHXAuUltjMqbY1PdDadGtYgOUy031/89hccX3ri3rI95ZStaDRd7uX1CtpcX9x5S0dUB16a1Ma5gjm0NN1wa1yJKxbyA4OZtXPv3FJ5fNMCjVX3MbaxoPbwnmtpa3Dp+UWb+F6GPsHZzwK3IjV0NN1yb1CIy7ImSI/+EEXbDETpLBMoGCQkJHD58mJEjR6Kvr//G+yYmJpJ/z5o1i549e3Lz5k3atm1Lnz59SCha/bqgoIBKlSqxa9cu7t69y08//cSUKVOktgSeN28e69evZ+3atZw9e5aEhAT27t2r8HtUFkkPHmJeVXonJnPPqiSHPyyliMoOyeEPMSvuxkNwkxz+EFM3aS9m7oIX+HzcFOTlkRzxBAv3V/cqUlPDoqoriQ9k32tBbh7qmppSaepaWiTcf6DQWJVNfl4eiY+eUsFD2k0FD1fiw+S4yctDrbgbTU1i74UrNFZlk5+bR9zDp1T0cpGkidTUqOjlQsx92bsOVnCxJ/7hU2LDIgBIiY7jadAdKtVUzkgtZZGfm0ds+FMqFXNTycuFqHsRMs+xdHEgNvwp0UVukqPieHz9LrY1VWf3jvzcPKLDn2JTzItNNRci5Xip6OJATPhTou6L30+KiiPi+l3sVcgLCG7ehsRNNVluZLc1FV3tiQ5/SuR9ccdRUlQcj67dxaGWarkRUCylunWwgMBLHjx4QGFhocztlovj6+tL7969AZg9ezaLFi3i8uXLtGnTBk1NTWbNmiXJa29vz4ULF9i5cyc9e/YEYMGCBUyePFmy5sCKFSs4ckTxwweVRU5yClrG0kPmtYwMycvMIj8nB3UtrVKKrPTJTk7B3OhNN/mfuRuZdcZY8AKfj5uc1DQKCwremG6jbWxEWmS0zHPKe7oRfvgEZi5O6Je3IO7uPSKvBkFB2R2p9/+QkyJ2U3y6jY6xISkvomSeY+nlxj3/E5R3dcSgggXRt+/x7EowhSrmJquo3hSfbqNrbETyc9n1pkrjOmSlpnNg+l8UUkhhfgGurRtRveunP2T9dbJS0yksKEDPRPqZ0jUxJFGOG+cmtclKTWPv1AVQWEhBfgHuPo2o1V113GTK8aJnbEjiM9leXJvWJjM1jR1TFki8eLVpRN0equMFBDdvIzNF7Ea/2HQbPRNDEuS4cWtam8yUdLZPXiBxU61NQ+r1+EIJEasIn8bgD4UidJYIlAneZxrM6ws56evrY2RkRExMjCRt6dKlrF27lidPnpCZmUlOTo5kMdnk5GQiIyOpV6+eJL+Ghga1a9d+awzZ2dlkZ2dLpQmLQwkICHzOuPftyY21Wzg1aSYikQi98hbYNPbmyWnZw8U/J2oO6M6Vv7dycNzPIBJhUMEC+6bePJIzbedzIvLOfW7sOUKDIV9RztGWlKg4Lq77h6B/DlGj+5elHV6p8vx2GNd2H6XJkJ5UcLYjOTKWs2t3c3XnYWr3bFPa4ZUaT2+Fcfmfo7QY1hMrJzuSomIJWL2bizsOU/+rz9cLCG7extNbYVz65ygth/XAytmOpMhYTq3ew4Udh/H+zN0IlByhs0SgTODk5IRIJCI0NPSdeTWLDW0WiUQUFBQAsH37dsaPH8+8efPw9vbG0NCQP//8k0uXLn1QfH5+flIjVgBmzJgBPk0/6LqKQMvYiJzkFKm0nJRUNHR1VOZX8P8XbWMjclLedKP+mbuRWWeSBS/w+bjRMjRApKZGdrHnIzs5BW3jNxd3BdA2MqTumG/Jz8klJy0dHVNjQnbuQ6+8hTJCVhpaRmI3WcmpUulZyanomsh2o2NkSONxw8jPySU7LR1dU2NubPsX/fLmyghZaegU1ZvMYm4yk1Pkurm23R/HJnVxadkAADNba/Kyszm7chvVu/ogUlONGeI6hvqI1NTISJJ+pjKTUt8YOfCSy9sO4NK0LlVbi92Y21YkNzuHwOXbqNX9C5VwoyvHS0ZyKnqmsr2c33oAt2Z18SzyYmFXkdysHI4v20a9HqrhBQQ3b0PXSOwmPUm6rclISkXf9M3FXQHObfWnarM6eH0hdlPOTvw8HVu6nfoq5EahiIShJUItESgTmJmZ4ePjw9KlS0lPT3/j/aSkpBJd59y5czRo0IARI0ZQo0YNHB0dCQ9/NUfc2NgYKysrqc6TvLw8rl279tbrTp48meTkZKlj8uTJJbs5JWPi6EBCiHSnU8KdEIyrOJRSRGUH4yoOJNwV3BTHuIoDicXrzF3BC3w+btQ0NDC2syHuzj1JWmFBAXF372Hq+PZ7VdfSRNfMhML8AiKvBGFZU/42jp8i6hoamNpXJvq2tJvoO/cwd3q3G70iN88uB2FdW8XcaGpg4VCZyFvSbl7cuk95Z3uZ5+Rl57yxsN/LLy1leK3190ZdU4NyVSrz/OZ9SVphQQHPbt7H0sVO5jl52bmIin05UStypSpu1DU1qFClMk+LeXl68z5W7+FFpGJeQHDzNl66eVLMzZOb97Bykd3W5GbnSFy8RBXbGoUiEin2+AQQOksEygxLly4lPz+funXrsnv3bsLCwggJCWHRokV4e3uX6BpOTk5cvXqVI0eOcP/+faZPn86VK1ek8nz//ffMmTOHffv2ERoayogRI97ZGaOtrY2RkZHUoaxpOHlZWaQ+fkrq46cAZMbFkfr4KZnx4kVtw3bt5faqdZL8lZo3ISMmjvs7dpP+IoqnJwKIvnwNG5+WSolXmeRlZZH65CmpT4rcxMaR+uQpWUVuHuzay52/X7mxbt6EzNg4wnbuJj0yimcnA4i5cg2bL1TLTXEvWXHSXsL/2cvd17xUbCb28qDIy/OTAcReuUYlFfMCgpu34dCmJU8Cz/L0zAVSn0dyc8M28rOzsWkibn+DVq4nZOc+Sf7E8EdEXgkiPSaW+HthXJq7GAoLcGyrevPBXdu1JPzUOR4FXiT5eRRX124nLzsbh6b1Abi4bAM3tv0ryR//4BFPLweTFh1HTOgDAuYsobCwELcOrUvrFhSGR/sW3DtxnrCAiyQ9i+Lc3zvIy87GubnYTeDijVzZ8sqNTW0PQo+eJfzcVVKj43h+I4Rr2w9gU8sTNXXV+rO0Wofm3D1+ntBTl0h4FkXgyp3kZWfj2kLs5vjCjVzY/GpHP9vaHtw+cpaws9fEC98Gh3Jpmz+2tT1Uyk3NTs25dew8d05eIv5pFCdW7CQ3Kxv3lmIvhxds5OymV14c6nhw8/BZ7p25RnJ0HI+DQzm/1R+HOqrlBQQ3b6NWp+bcOvrKzfEVO8nNysGjlXhq/aG/NnFm4ys3Vep4cOPQWUJPXyM5Op6I4FDOb1FNNwKKQ5iGI1BmcHBw4Pr16/z222+MGzeOyMhIypUrR61atVi+fHmJrjFs2DCCgoL46quvEIlE9O7dmxEjRnDo0CFJnpfXHjBgAGpqagwaNIguXbqQnJysqFv7IFIePeba739JXt/f9g8AVg3r4zHEl+ykZMkXPQDdchbU+GEk97f9w5Njp9AxNaHqwL5YeKrWTgMAqRGPuf6am7Dtr9xU/caXnOQ33VQvcvO0yI3rwL6Yq5ib1IjHBP/xysuDIi+WDevjNljsJTtB2ovXmJE82P4Pz46fQtvUBBffvph7qJYXENy8Dev6tclJTePengNkJ6dgZFOJehNGSabhZMYnSP0SlJ+bS+ju/WTExqGurU2Fah7UGOaLpr5ead2CwrDxrkVWSiq3/jlAVlIqJrbWNPtxJDpF0ynS4xKl3eTkcWvnf6TFxKGhrU3FGu54jxiAlgq6cWhYi6yUNK7t8CczKRVzO2t8po6UTMNJi0uQ+uW7erc2IBJxbdsBMhKS0TEywKa2B7V6dyitW1AYTo3Ebi5v8ycjKRULe2vaTx8hmYaTFpco9ct37R4+iERwaesB0hOS0TUywK62B/X6tC+tW1AILo1qkZmcxoVt/mQkplLO3pouM0agX+QlNTZRqs7U6+kDIji35QBpCcnoGRngUMeDBirmBQQ3b8O1cU0yU9I4t/UgGYkplLOvRLcZwyVuUoo9T/V7+oBIxLkt/qQVPU8Oddxp1Ff13CgMoU8JUeH7rKwpICAgxXcXTpV2CGWSJd7NGXFecFOcZQ2a8+05wYssVjQU3MhjRcPmjL90srTDKJPMrdeCGdePl3YYZY5ZNVvxx81jpR1GmWSiV2sW3jla2mGUSb53/4IVIYIbWXzrJriRx7duX7AqVHV2lfxYDHX99HckcuyxWaHXf7Crr0Kv/zEQ+osElIKdnR0LFiyQvBaJROzbtw+AiIgIRCIRwcHBpRLbzJkzJbvlCAgICAgICAgICAgIfPYIa5YII0sEPgxfX182bNgAiLfgNTMzw8vLi969e+Pr64ta0UJKsbGx6Ovro6cnHoIcFRWFqakp2traREREYG9vT1BQkMI7LUQiEXv37qVz586StLS0NLKzszE3L7u7FGzZsoU1a9YQGxuLq6sr06dPl9pCuTiHDh1i4cKFPH/+HDs7O8aPH0/TpmVv556PgeBGPoIb2Qhe5CO4kY/gRj6CG/kIbmQjeJGP4EY+ghvl4thzi0Kv/2BnH4Ve/2MgdJYIfBC+vr5ER0ezbt068vPziY6O5vDhw/j5+dG4cWP279+Phsbbl8Yp7c6SD+P+u7N8IAcPnmHixPnMmjWSatWc2bBhP4cPn+Xw4RWYm5u8kf/69RD69v2RsWMH0Lx5Hf77L5DVq3ezZ88CnJ1tFR6vGGcEN7JQjhcQ3Mjj0/MCgpu3IbiRjdDWyMeZQkKUUA4cPHiWSRMXMHPWcImbI4fPc+jwUjluQunXdwpjx/ajWfPaHPjvNKtX72X3nnlKcSPCTSluPjUvIHZTUHhX4eUcPHiWHyctZObMb/Gq5szGDf9x5Mh5Dh5aItNN0PVQ+vWbyg9j+9KsWW0OHDjDmtV7+Wf3XKW5URNVFeqNDES4KbwMReP4lYI7S3aU/c4SYRqOwAejra2NpaUl1tbW1KxZkylTpvDvv/9y6NAh1q9fD7x9Gs5LQkNDadCgATo6Onh4eBAYGCj1fmBgIHXr1kVbWxsrKyt+/PFH8vLyJO8XLwOgevXqzJw5U/I+QJcuXRCJRJLXZX0azrp1++jZ04du3Vrh6GjDrFkj0NHRZvdu2fPRN27cT+PGNfnmm65UqVKZMWP6UrVqFTZvPqDkyBWP4EY+ghvZCF7kI7iRj+BGPoIb+axf9y89en5Bt24tcXSszKxZw4vcnJCZf9PG/2jUuCaDv+lClSqV+X5MH6pWdWDL5oNKjlyxCF7ks2H9fnr0aE3XIjczZ32Ljo42e+S42bjpAI0a1WDw4CI333+NW1UHtm5RPTdCvREoDYTOEgGF0KJFC6pVq8aePXtKfM6ECRMYN24cQUFBeHt706FDB+Lj4wF4/vw5bdu2pU6dOty4cYPly5ezZs0afv311xJf/+UWwuvWrSMyMvKNLYXLIjk5udy584AGDapJ0tTU1GjQoDpBQfdknhMcHIq3d3WptEaNahAcHKrIUJWO4EY+ghvZCF7kI7iRj+BGPoIb+YjdhNOgwaspAmpqang3qEawXDf3aOAtPaWgYaMaBAfLzv8pIniRz0s33sWeJ29vL7n3eiP4nlR+gEYNqxMcrJyRZcpCqDelQ6GaSKHHp4DQWSKgMFxdXYmIiChx/u+++45u3brh5ubG8uXLMTY2Zs2aNQAsW7aMypUrs2TJElxdXencuTOzZs1i3rx5FBQUlOj65cqVA8DExARLS0vJ67JMYmIK+fkFmJubSqWbm5sQF5co85y4uCQsLExk5E9SUJSlg+BGPoIb2Qhe5CO4kY/gRj6CG/kkJqYWuTGRSrcwN36rG3OLkuf/FBG8yCdJ4sZYKt3cQv7zEReXhEUxl+L8quVGqDcCpcXbF5MQEPgACgsLpfaCfxfe3t6Sf2toaFC7dm1CQsRzIENCQvD29pa6XsOGDUlLS+PZs2fY2Nh8vMBlkJ2dTXZ2tlSatrY22toKLVZAQEBAQEBAQEBAQED5fCI71igSYWSJgMIICQnB3t5eaeWpqalRfL3i3Nzcj3JtPz8/jI2NpQ4/P7+Pcu23YWpqhLq6GvHx0r3g8fFJWFiYyjzHQsYvEOL8JgqKsnQQ3MhHcCMbwYt8BDfyEdzIR3AjH1NTwyI3SVLpcfHJb3UTH1fy/J8ighf5mEjcJEulx8sYjfUSCwsT4oq5FOdXLTdCvREoLYTOEgGFcPLkSW7dukW3bt1KfM7Fixcl/87Ly+PatWu4uYlXknZzc+PChQtSnSHnzp3D0NCQSpUqAeJpNpGRkZL3U1JSePTokVQZmpqa5Ofnv/f9TJ48meTkZKlj8uTJ732d90VLSxN3d0cuXLgpSSsoKODChRvUqOEi85zq1V25ePGGVNr588FUr+6q0FiVjeBGPoIb2Qhe5CO4kY/gRj6CG/mI3VR5w83FCzepLteNCxcu3pRKE7uRnf9TRPAin5duLhZ3c/GW3HutVt1FKj/A+fM3qF7dWaGxKhuh3pQSIgUfnwBCZ4nAB5OdnU1UVBTPnz/n+vXrzJ49m06dOtG+fXv69+9f4ussXbqUvXv3EhoaysiRI0lMTGTQoEEAjBgxgqdPnzJq1ChCQ0P5999/mTFjBmPHjkVNTVyNW7RowaZNmzhz5gy3bt1iwIABqKurS5VhZ2fHiRMniIqKIjGx5HMWtbW1MTIykjq0lTQHZ+DAzuzceYS9e08QHv6UmTOXkZmZRdeurQCYOHE+8+ZtkOTv378jZ85cZ+3avYSHP2Xx4q3cvv2Avn3bKyVeZSK4kY/gRjaCF/kIbuQjuJGP4EY+vgM7sWvnMfbuPVnkZkWRm5YATJq4gHnzNkny9+vfgbNngli7dh8Pw5+xePE27twOp0/ftqV1CwpB8CKfAb4d2bXrGPuK3MyauZLMzCy6vHQzaSHzX3PTv197zp4NYt3af3n48BlLFm/nzp1wvu6jem6EeiNQGghrlgh8MIcPH8bKygoNDQ1MTU2pVq0aixYtYsCAAZKOjJIwZ84c5syZQ3BwMI6Ojuzfvx8LCwsArK2tOXjwIBMmTKBatWqYmZkxePBgpk2bJjl/8uTJPHr0iPbt22NsbMwvv/zyxsiSefPmMXbsWP7++2+sra3fawHa0qJt28YkJCSzaNEWYmMTcXNzYPXqWZJhhJGRsai9tqJ0zZpuzJ07ngULNjN//kbs7CqydOlUpewpr2wEN/IR3MhG8CIfwY18BDfyEdzIp23bRiQkJLN40bYiN/b8vXqGZErFi8hYRFJuXJk7dywLFmzhr/mbsbOryJKlP6qcG8GLfNq2bURiQgqLFm8nrsjNqr9/kriJfBGL2mvrSNSo6cqfc39g4YKt/PXXZmztrFi8RHXdCPVGyXwiO9YoElFh8UUeBAQUgJWVFb/88gvffPNNaYfykVGtrdk+Hs4IbmQheJGP4EY+ghv5CG5kI3iRjzOFhJR2EGUSEW6CGzmIcKOg8G5ph1EmURNVFeqNDES4lXYIH0yVftsVev3wTb0Uev2PgTCyREChZGRkcO7cOaKjo3F3dy/tcAQEBAQEBAQEBAQEBATehbAbjrBmyeeOSCRi3759Jc4/c+ZMqlevXuL8q1atolevXowZM0Zqa+CS0qxZM8aMGfPe5wkICAgICAgICAgICAgI/L8II0tKgK+vLxs2bHgj3cfHh8OHDys1lmbNmlG9enUWLFjwUa4XGRmJqenH30Jr9+7dLF26lKCgILKysvD39ycpKYlRo0ZRo0aNEl9nz549aGpqfvT4Ph7KWW18y5YtrFmzhtjYWFxdXZk+fTpeXl5y86ekpPDXX39x7NgxkpKSsLa2ZsqUKTRt2lQp8YoR3MhGeSvUv4+bPXv2vLHDk5aWFrdu3VJGqEWUvTpTNryA4OZtlD03ILQ1ZdmNMofHC25k8ym2NWqiqkop51N0Uxbrzev4+/szduxYWrZsybJly5QQqYogDCwROktKSps2bVi3bp1UmrJ2Q1EEOTk5aGlpYWlp+dGvPWnSJObNm8fo0aOZNWsWtra2xMbGcujQISZPnvxeHUxmZmYfPb6PyfHnBxVexrVTQWycs4VeY3pg52bLqd2B9B/YnxkbJmNoavhG/rzcPOaNXoShiQH9pvfCxMKEhOgEHonuk/s8XeHxArSybsvlWH+Fl3PxRBAr/bYycHwPqlS14fDO0wwY2J8/tv2IsRw3Pw9fjJGpAd/O6oVpOWPiohKI0bzH5dg0hcdbt1w7biYcUHg5AOeOB7HEbxtDJ3bH0d0G/x1n8B3Un4XbJ2Fs9qabp+nB6OrrsHDHJEmaSCRSWrxeZu25Hqf4OnPheBDL/LYyeEIPHKvacGjnaXwH9WeenDrzOPUGuvo6zN/246tEkUgpsb6kpkU7guIV//9w/ngQy/y28c0EcZ05WFRn5m+TXWcep4nrzF/bX9UZRCKlxPqSGubtuaqkerPCbyuDJrzW1gzqz9y3tDWzvhW3NcN/7oVZUVsTp3WPq3GKb2tqW7TjQoxy6uilE0H87beVAeN64FDVhqO7xO3wnK0/YiTHzW8jFmNoYsDQmb0wKWdMfFQCUZr3uBCjeDfe5QU38vAu345gJbU1S4vaGqfX2pq/5LQ1T4ramgXF2hplxPqS6ubtCUlSfHlnjwWxwG8bwyd1x9ndhv3bxW6W7pyEiQw3LzKC0dPXYemu1z67ESkl1pe4mbQnLFnx5Z0+FsR8v22M/LE7Lu42/FvkZuUu2W5eEv0igd/mLMG9ugPpuVFKiRXAyVgFdvgSFngVpuGUFG1tbSwtLaWO10dkhIWF0aRJE3R0dKhatSrHjh2TmuISEBCASCQiKSlJck5wcDAikUiyI0t8fDy9e/fG2toaPT09PD092bZtmyS/r68vgYGBLFy4EJFIJHVuYGAgdevWRVtbGysrK3788Ufy8vIk5zZr1ozvvvuOMWPGYGFhgY+PD/DmNJxJkybh7OyMnp4eDg4OTJ8+ndzc3BJ7unjxIn/88Qfz589n/vz5NG7cGBsbG2rVqsW0adM4dOiQ1P107txZ6vwxY8bQrFkzqbhfn4ZjZ2fH7NmzGTRoEIaGhtjY2LBq1Sqpazx9+pSePXtiYmKCmZkZnTp1ktr15sqVK7Ru3RoLCwuMjY1p2rQp169fL/E9KpsTuwJo0NYb7y/rYWVnSa8feqClrcWFQ5dk5r9w6BIZKRkM+2UwVTwcMLc0w6maI5WqWCs5csVzaHsgzTrUp0m7uljbWzJwQne0dTQ5feCyzPyB/pdJT8lgjN8gnL3sKWdlhlsNR2ydVM/NgW2nadmxPs3b16WyvSVDJ3ZDS1uTk3LcgHhqqqm5keR42x8fnyr+OwJp0aE+zdrVpZK9JYMndEdLW5OAd3gxMTd6daigFwD/7adp0bE+zdqL3XxTVGcEN3BoRyDNO9SnaVG9GTShO9ramgTKcRNw4DJpKRn8MGcQLire1hzZEUjTDvVpXNQODxjfHS0dTU77y3Zz2l/sZrTfIJyK3LjWcMTGUXDzubjx3/7q8+n1tuaU0Nbw77bTfNGpPi071KWygyXDf+yGto4mJ/6T74bin93mqulm39bT+HSuT+sOdbFxsGRkkZtjb3GTn1/A3J+20GeID5bWZfsHWIGyiTCy5CNQUFBA165dqVChApcuXSI5Ofn/WmcjKyuLWrVqMWnSJIyMjPD396dfv35UqVKFunXrsnDhQu7fv4+Hhwc///wzAOXKleP58+e0bdsWX19fNm7cSGhoKEOGDEFHR4eZM2dKrr9hwwaGDx/OuXPn5MZgaGjI+vXrqVixIrdu3WLIkCEYGhoyceLEEt3Dtm3bMDAwYMSIETLfF32EhYLmzZvHL7/8wpQpU/jnn38YPnw4TZs2xcXFhdzcXHx8fPD29ubMmTNoaGjw66+/0qZNG27evImWlhapqakMGDCAxYsXU1hYyLx582jbti1hYWEYGpatD5i83Dye3n+Gz9etJGlqamq41nLi4d3HMs+5ef4O9u527Fj4DzfP38bA2IDaLWvyRa+WqKmrTv9oXm4eEfef0aFfS0mampoa7rWdeXAnQuY518/extHDlg3zdnP97G0MTQxo0Lom7fu0UCk3ubl5PLz3jC79W0jS1NTU8KrjzP3bsusNQFZmDsO7/EphQQH2LpX4+tu2VHb4+KPPSou83Dwe3XtGp2J1xqO2M2G3I+Sel5WZw6iuv1BQWIi9szVfDWunUl7glZvO/aTrjGcJ6sx3XX6loLAAe+dK9FKxOgOv3HR8j3pz/extnDxsWT9vN9fO3MaoqK3p0Fe12pqX7XC7vm+2w+Fy2uHgc7dxdLdl0/zdBBW1w/Vb1aSdirXDghvZ5BV9Pslqa8Le0daM7PIrhSrc1uTm5hEe+oxuA6TdVKvjzL1bb3czpNOvFBQUUMWlEn1HtMVGBd08CH1Gj2JuqtdxJvQtbravOYqxqQFfdKrHneCHyghVtRBGlggjS0rKgQMHMDAwkDpmz54NwPHjxwkNDWXjxo1Uq1aNJk2aSN57H6ytrRk/fjzVq1fHwcGBUaNG0aZNG3bu3AmAsbExWlpa6OnpSUa3qKurs2zZMipXrsySJUtwdXWlc+fOzJo1i3nz5lFQUCC5vpOTE3/88QcuLi64uLjIjGHatGk0aNAAOzs7OnTowPjx4yXll4T79+/j4OCAhsarfrj58+dLeUtOTn5vN6/Ttm1bRowYgaOjI5MmTcLCwoJTp04BsGPHDgoKCli9ejWenp64ubmxbt06njx5QkBAAAAtWrSgb9++uLq64ubmxqpVq8jIyCAwMPCD4lIEacnpFBQUvDHdxtDUkJSEFJnnxEfGExR4g4KCQkb4DeXLfl9wclcAhzYfVUbISiM1OZ2C/II3huwamRmSFJ8q85zYFwlcCbhJQUEB4/8cQmff1hzaHsC+DceUEbLSSE2S7cbYzECum4o25Rkx5Ssm/j6QUTP6UFhQyNShi4mPSVJCxMohRa4XQ5ISZHuxsi3PsMlfMW7OIEb+9DWFhYXM+HaRSnmBt7kxkOumok15vp3yFeN/H8h3M/pQWFjIT8NUq86A/OfJyMyQZDluYl4kcLmorZk4V9zWHNwewF5Va2vktcOmhiTLaWtiXiRwJVDsZuyfQ+g4oDWHdwSwf6Pg5nNw8yFtzYSitqagsJDpKtzWFB81Y2xmQKIcN9a25Rk17Ssm/zmQH2aJ3fz4zWLiopOUELHySJHjxsTMgEQ5z9Od4Icc3X+ZUVN7KCNEARVFGFlSQpo3b87y5cul0l6upxESEkLlypWpWLGi5L3/Z+eX/Px8Zs+ezc6dO3n+/Dk5OTlkZ2ejp6f31vNCQkLw9vaWGrXRsGFD0tLSePbsGTY2NgDUqlXrnTHs2LGDRYsWER4eTlpaGnl5eRgZGb33vbzOoEGD6NixI5cuXaJv374UFhZ+0PVeX8hJJBJhaWlJTEwMADdu3ODBgwdvjBDJysoiPDwcgOjoaKZNm0ZAQAAxMTHk5+eTkZHBkydP5JaZnZ1Ndna2VFpZXbOmsLAQQ1MDvh7bEzV1NWycK5MUl8zxHSdpN6BNaYdXqhQWFGJkYsDgiWI39q6VSYxNxn/bKboO8int8EoVF087XDztXr32smNMr985tvcCvYZ9WXqBlTLOHnY4e9i9eu1pz/iv53Bi3wV6Dv18vQA4e9rh/Fqdcfa0Y1zv3zm+7wJffeZuCgsLMTI14JvX25q4ZPy3nqLbZ97WvGyHB04Qu7FzEbfDh7adovNAwY3g5k1ktTVjhbYGAFdPO1xfc+PqZcd3X/3Okb0X6PPt5+smIz2L+TO2MWpKD4xNDEo7nE+WQmFgidBZUlL09fVxdHT8v89XUxMP4nm9o6D4WiB//vknCxcuZMGCBXh6eqKvr8+YMWPIycn5v8t9HX19/be+f+HCBfr06cOsWbPw8fHB2NiY7du3M2/evBKX4eTkxNmzZ8nNzZXsYmNiYoKJiQnPnj2TyqumpvZGx0lJ1kcpvjuOSCSSjKBJS0ujVq1abNmy5Y3zypUrB8CAAQOIj49n4cKF2Nraoq2tjbe391s9+/n5MWvWLKm0GTNm0GhI3XfG+yEYGOujpqZGaqJ0r3lqYipGZrI7sYzMjFDXUJMasmtpU4GUhFTycvPQ0FSNx97QWB81dbU3ftlNSUiVO1/X2MIQDXV1KTcVbSuQHK9ibkxku0lOSCvxXGYNDXXsna2Jeh6niBBLBSO5XlJLPP9dQ0MdO+dKKuUF3uYm7T3dWBP9TLXcyHueUhJSZS5GCWBiboi6xpttTZKqtTXy2uHEVIzltDUy3dhVIPlz+Yz6zN18zLYmSkXbmuIjbJIT0jB9DzcOKujGSI6bpIQ0TGU8T1HP44mOTODncWslaYUF4u8cHb0nsHLXJKwqWSg2aAGVQJiG8xFwc3Pj6dOnREZGStIuXrwoleflF/XX8wQHB0vlOXfuHJ06daJv375Uq1YNBwcH7t+/L5VHS0uL/Pz8N8q/cOGCVMfDuXPnMDQ0pFKlSiW+j/Pnz2Nra8vUqVOpXbs2Tk5OPH4sfx6gLHr37k1aWlqJtuUqV66clA9408n7UrNmTcLCwihfvjyOjo5Sh7GxMSB2M3r0aNq2bYu7uzva2trExb39Q2Xy5MkkJydLHcW3alMEGpoaVHauxL3rr+pBQUEB966H4VDVVuY5Dh72xD6Pk5qCFfMsBmNzI5X4Q+slGpoa2DlX4u61MElaQUEBd66F4ehuJ/McZ097oou5iXoai4mKudHU1MDBpRK3rkq7uXU1DGcP2fWmOPn5BTwJj8TE/MNGlpUlNDQ1sHepxO2rb9YZp9dGj7yNgvwCnoZHYqpCXuA1N8Wep9vvUWdeulGlOgOv3NwpVm9uv6XeOHvaE/1M9dsaee3w3WthVJHTDjt9Ju2w4EY2Gi8/n2S0NU7v2daoWjusqalBFddK3Lwi7ebmlTBcPEv+2f04PBJTC9Vz4+haiRvF3Ny4GoarDDeVbMuzZNt4Fm0eKznqNa6KZ60qLNo8FosKJkqM/hNGTaTY4xNA6CwpIdnZ2URFRUkdL79gt2rVCmdnZwYMGMCNGzc4c+YMU6dOlTrf0dGRypUrM3PmTMLCwvD3939jxIaTkxPHjh3j/PnzhISEMGzYMKKjo6Xy2NnZcenSJSIiIoiLE3+gjhgxgqdPnzJq1ChCQ0P5999/mTFjBmPHjpWMaCkJTk5OPHnyhO3btxMeHs6iRYvYu3fve3ny9vZm3LhxjBs3jrFjx3L27FkeP37MxYsXWbNmDSKRSBJTixYtuHr1Khs3biQsLIwZM2Zw+/bt9yqvOH369MHCwoJOnTpx5swZHj16REBAAKNHj5aMbHFycmLTpk2EhIRw6dIl+vTpg66u7luvq62tjZGRkdShrGk4LXs045z/RS4euUzU42i2L/iH7Kwc6repB8AGvy38+/erbdCadGxARmoG/yzZS/TTGG5fvMORrcdp0qmRUuJVJl/2akrAfxc5c+gKzyOiWT/3H7Izc2jSTjziZ8UvW9mx4pWblp0bkJaSweaF+4h8EkPw+bvs33ScVl0bltYtKIz2vZtwYv8lAvyv8Cwimr//2E12Vg7N24vdLJ61lS3LXm2fuWvNUW5cukf083ge3nvG4llbiI1KpGXHeqV1Cwqh3VdNOfXfRQIPiuvM2rni56lpUZ1Z9stWti1/VWd2rz3CzSIvj+49Y8nPW4iNSqB5B9XyAtCuVxNO7r8kcbPmT3GdaVpUZ5b+vJVty1/Vmd1rX9WZR/eesaSozrRQsToD8GVRvTld5GZdsXqz/JetbH+t3rTqIm5rNi0QtzVB5+/y78bjtO6mem2Nz1dNCTxwkbOHrvAiIpqN88TtcOO2Yjerft3Krtfa4eadG5CeksGWhfuIKmqHD2w6TgsVbIcFN7J5va15FhHN6qK2pllRW7Pk561sfa2t+Wet7M8nVWxrOvVuwrF/L3HS/wpPH0Wz4vfdZGXl0LLIzYKZW9m09JWbHauPEnTxHlHP4wkPfcaCGWI3rVXQTeevm3Dk30ucOCB2s+z33WRl5tCqyM28GVtZX+RGS1sTuypWUoe+oS56etrYVbFCU0U6HwUUj1BTSsjhw4exsrKSSnNxcSE0NBQ1NTX27t3L4MGDqVu3LnZ2dixatIg2bV6tD6Gpqcm2bdsYPnw4Xl5e1KlTh19//ZUePV4tOjRt2jQePnyIj48Penp6DB06lM6dO0stiDp+/HgGDBhA1apVyczM5NGjR9jZ2XHw4EEmTJhAtWrVMDMzY/DgwUybNu297rFjx4788MMPfPfdd2RnZ9OuXTumT58utaNOSZg7dy5169Zl+fLlrF27loyMDCpUqECTJk24cOGCZA0UHx8fpk+fzsSJE8nKymLQoEH079+fW7duvVd5r6Onp8fp06eZNGkSXbt2JTU1FWtra1q2bCkpd82aNQwdOpSaNWtSuXJlZs+ezfjx4//vMhVNreY1SE1K48C6w6QmpmBdxZqRvw/DqGhIZmJMIqLXemdNy5sy8vdv2b1sH7O/+RMTC2OadW3CF71ayivik6V+S7Gb3asPk5yQgo2jNRPmDZUMjY+PlnZjXsGUifOHsWXRPqb6zsXUwhifHk1o36eFvCI+WRq2qkFKYjo7Vh8hKT4FOydrpv41RDLMOS46ScpNemomK+bsIik+BX1DPRxcK/HbqlFUtletFfW9W9UgJSmNf1YfJikhBVsna36cN/Q1L4lS6z+lp2by9+87SUoQe7F3qcSslaOppGJeABq0qkFKUjq7/j7yys18+XUmLTWTv+fskrhxcKnEzytHqaQb71bituaforbG1smaScXbGpF0W/PjX8PYtHAfkweI25o2PZrQoa/qtTX1itrhvWtetcPj5r7dzfh5w9i6eB/TBordtO7ehHYq2A4LbmTzsq3ZWdTW2DlZM/m1tiY+Ogm1Yp9Pq4q1Nb+oaFvTqHUNkpPS2bbqCInxKdg7WzNjwRDJFNpYGe3wMr9dJManYGCoRxXXSsz5e5TK7RQE0KR1DZIT09lc5MbB2ZqfFw6RTMOJLVZvBD4CH2EX008dUeGHrrYpIBeRSMTevXvp3LlzaYcioCCOPz9Y2iGUSVpZt+VyrP+7M35m1C3XjpsJB96d8TPEy6w91+OEOiOLmhbtCIoX6o0sapi356pQb96gtkU7LsQIXmThXV5wIw/v8u0IFtoamVQ3b09IkuBGFm4m7QlLFtwUx8m4fWmH8ME4DNut0Os/XNlNodf/GAjTcARUjvXr12NiYvJe5zRr1owxY8YoJB4BAQEBAQEBAQEBAYFPCmHNEmFkiSJR1ZElvr6+bNiw4Y10Hx8fDh8+rNRY7OzsGDNmjFRHR2ZmJqmpqZQvX77E10lISEBTU/ONLYfLClu2bGHNmjXExsbi6urK9OnTpbZQLs6hQ4dYuHAhz58/x87OjvHjx9O0aVMlRqw8BDfyEdzIRvAiH8GNfAQ38hHcyEdwIxvBi3wEN/IR3CgXh+F7FHr9h8u7KvT6HwOhs0TgvfH19SU6Opp169ZJpWtra2NqaqrUWGR1liiX++/O8oEcPHiGiRPnM2vWSKpVc2bDhv0cPnyWw4dXYG5u8kb+69dD6Nv3R8aOHUDz5nX4779AVq/ezZ49C3B2Ltlq6h+OM4IbWSjHCwhu5PHpeQHBzdsQ3MhGaGvkI7iRj/A8yUdwIx/BjWyclVCGYnEYqeDOkqVlv7NEmIYj8H+hra2NpaWl1GFqakphYSEzZ87ExsYGbW1tKlasyOjRowFYsmQJHh4ekmvs27cPkUjEihUrJGmtWrWSLEwbHh5Op06dqFChAgYGBtSpU4fjx49L8jZr1ozHjx/zww8/IBKJJIukFZ+GM3PmTKpXr86mTZuws7PD2NiYXr16kZqaKnWtsjoNZ926ffTs6UO3bq1wdLRh1qwR6Ohos3v3MZn5N27cT+PGNfnmm65UqVKZMWP6UrVqFTZvVr35pIIb+QhuZCN4kY/gRj6CG/kIbuQjuJGN4EU+ghv5CG4ESgOhs0Tgo7J7927++usvVq5cSVhYGPv27cPT0xOApk2bcvfuXWJjYwEIDAzEwsKCgIAAAHJzc7lw4QLNmjUDIC0tjbZt23LixAmCgoJo06YNHTp04MmTJwDs2bOHSpUq8fPPPxMZGUlkZKTcuMLDw9m3bx8HDhzgwIEDBAYGMmfOHMWJ+Ejk5ORy584DGjSoJklTU1OjQYPqBAXdk3lOcHAo3t7VpdIaNapBcHCoIkNVOoIb+QhuZCN4kY/gRj6CG/kIbuQjuJGN4EU+ghv5CG5KCZFIsccngNBZIvB/ceDAAQwMDKSO2bNn8+TJEywtLWnVqhU2NjbUrVuXIUOGAODh4YGZmRmBgYEABAQEMG7cOMnry5cvk5ubS4MGDQCoVq0aw4YNw8PDAycnJ3755ReqVKnC/v37ATAzM0NdXR1DQ0PJ6BZ5FBQUsH79ejw8PGjcuDH9+vXjxIkTilT0UUhMTCE/vwBzc+npTebmJsTFJco8Jy4uCQsLExn5kxQUZekguJGP4EY2ghf5CG7kI7iRj+BGPoIb2Qhe5CO4kY/gRqC0EDpLBP4vmjdvTnBwsNTx7bff0qNHDzIzM3FwcGDIkCHs3buXvLw8QLzgbZMmTQgICCApKYm7d+8yYsQIsrOzCQ0NJTAwkDp16qCnpweIR5aMHz8eNzc3TExMMDAwICQkRDKy5H2ws7OTWrzVysqKmJiYEp+fnZ1NSkqK1JGdnf3ecQgICAgICAgICAgICJR5hN1whM4Sgf8PfX19HB0dpQ4zMzMqV67MvXv3WLZsGbq6uowYMYImTZqQm5sLiNcGCQgI4MyZM9SoUQMjIyNJB0pgYKDUCtXjx49n7969zJ49mzNnzhAcHIynpyc5OTnvHa+mpqbUa5FIREFBQYnP9/Pzw9jYWOrw8/N77zjeF1NTI9TV1YiPl+41j49PwsJC9mK6FhZv9pqL85soKMrSQXAjH8GNbAQv8hHcyEdwIx/BjXwEN7IRvMhHcCMfwU3pUCgSKfT4FBA6SwQ+Orq6unTo0IFFixYREBDAhQsXuHXrFvBq3ZJdu3ZJ1iZp1qwZx48f59y5c5I0gHPnzuHr60uXLl3w9PTE0tKSiIgIqbK0tLTIz89X+D1NnjyZ5ORkqWPy5MkKL1dLSxN3d0cuXLgpSSsoKODChRvUqOEi85zq1V25ePGGVNr588FUr+6q0FiVjeBGPoIb2Qhe5CO4kY/gRj6CG/kIbmQjeJGP4EY+ghuB0kLoLBH4v8jOziYqKkrqiIuLY/369axZs4bbt2/z8OFDNm/ejK6uLra24i26vLy8MDU1ZevWrVKdJfv27SM7O5uGDRtKynBycmLPnj0EBwdz48YNvv766zdGg9jZ2XH69GmeP39OXFycwu5XW1sbIyMjqUNbW1th5b3OwIGd2bnzCHv3niA8/CkzZy4jMzOLrl1bATBx4nzmzdsgyd+/f0fOnLnO2rV7CQ9/yuLFW7l9+wF9+7ZXSrzKRHAjH8GNbAQv8hHcyEdwIx/BjXwEN7IRvMhHcCMfwU0poKbg4xNAo7QDEPg0OXz4MFZWVlJpLi4uzJkzhzlz5jB27Fjy8/Px9PTkv//+w9zcHBBPf2ncuDH+/v40atQIEHegGBkZ4eLigr6+vuR68+fPZ9CgQTRo0AALCwsmTZpESkqKVJk///wzw4YNo0qVKmRnZ1NYWKjgO1c+bds2JiEhmUWLthAbm4ibmwOrV8+SDDuMjIxF7bV5fzVrujF37ngWLNjM/PkbsbOryNKlU5W0p7xyEdzIR3AjG8GLfAQ38hHcyEdwIx/BjWwEL/IR3MhHcCNQGogKVfHbpYCA0rhf2gGUUZwR3MhC8CIfwY18BDfyEdzIRvAiH8GNfAQ38hHcyEdwIxvn0g7gg7Eft1+h1380r6NCr/8x+EQGwAgIwPr16zExMSntMAQEBAQEBAQEBAQEBARUHGEajoBSiIqKws/PD39/f549e4axsTGOjo707duXAQMGSLYL/vRQTq/xli1bWLNmDbGxsbi6ujJ9+nS8vLxk5g0LC2PRokXcuXOH58+fM3nyZHx9fZUSpzSCG9ko75cGwY1sPj0vUBbd7Ny5k3379hEWFgaAu7s7Y8eOlZtfcQhuZFM22xrBjeAGPkUvILh5G4IbleQT2bFGkQidJQIK5+HDhzRs2BATExNmz56Np6cn2tra3Lp1i1WrVmFtbU3HjmV/GJYssvMvK7yMw4cu4ue3kukzBuLpVYXNmw4zaPAA9vv/gbm58Rv5U9IfYmWtQcsvOvHnnC3kFT5RSpyvo61el6z8iwov5/ChS/j5rWLajAF4elVhy6YjDBo8gH/9f8fc3OiN/MnpD7GyVqfFFx2ZO2creYWPlRLnS3TU6yutvE/RTWbeeYWXc+TQJfz8VjN1Rn88PR3YsumY2MsBP8xkeElKe4iltRotWndg7u/byC2IUEqcr6Or0YCMvHMKL+fIoctFbvrh4enA1iI3+w7Mlunm/EV/vvjSjQmTO6Clrcn6NQcZOKg/u//9lfIVZG/l+LHR02hIRt4ZhZcjdrOWqTP6Frk5XuTmVzluDvDFl65MmNyuyM2hIjc/K8WNnkZj0vMCFV4OwJFDV/DzW8eUGX3w9LRny6YTDBo8gL0Hfpbj5j9af+nC+Mlt0dLWYP2aIwwc1J9//p2pFDf6Gk1Jyw1QeDkARw9dwc9vPVN++hoPL3u2FrnZ898smW7OXfyPVl86M27yl2hpabJh7WEGDurPrn0zlOLGQLOZUtx8al5A7EYZz9Sn9jyB+JlKzzut8HLEbtYyZUbfIjfHi9z8UgI3mqxfc7jIzSwltTVNFF6GgOIRpuEIKJwRI0agoaHB1atX6dmzJ25ubjg4ONCpUyf8/f3p0KEDIF7Q1dPTE319fSpXrsyIESNIS0t743r79u3DyckJHR0dfHx8ePr0qdT7y5cvp0qVKmhpaeHi4sKmTZuk3heJRKxevZouXbqgp6eHk5MT+/crdk7eh7Bx/SG69WhG565NqOJozfQZA9HV0WbfHtkfTB6eDoyb0Jsv23qjpaWp5GiVy6b1h+nao6nEzbQZvujoaL3VzdgJvfiybX3BTTE+FzebNhyla/cmdO7SuMhL/yIvsr9we3g6MHb8V7RpWw9NLdX+fWHzhiN07d6ETkVupr7Dzew/htKzdwtc3Gywd7Dip58HUlhQyKWLd5UcueLZvOEYXbs3plOXRlRxrMjUGX2L3JyVmX/2H0Po2bv5a258i9yEKDlyxbNlwzG6dG9Epy4NcXCsyNQZfdDR0eLfPbI7+H774xt69m6Gi1vlIjf9KSwo5PLFUCVHrng2bzxOl+6N6NilIQ5VKjLlpyI3e2V3uP72+2B69mqGi2tl7B0smT5LNd0IXuQjPE/yEbtp/Jqbvu9wU7wdHlDkRvXaYYWhJlLs8QkgdJYIKJT4+HiOHj3KyJEjpXa6eR1R0RAvNTU1yXD3DRs2cPLkSSZOnCiVNyMjg99++42NGzdy7tw5kpKS6NWrl+T9vXv38v333zNu3Dhu377NsGHDGDhwIKdOnZK6zqxZs+jZsyc3b96kbdu29OnTh4SEhI989x9Obk4eIXcjqF/fXZKmpqZGPW93bgQ/KMXISh95bup7u3NTcCO4kcFLL/W8iz1P9aty88bn6wVeunlMPe+qkrRXbsJLdI2srGzy8vIxNpbd1n+qyHfjxs0bD0t0jaysHBV284R63m6StP/XjZGqucnNI/TuE+rWl3ZTt74rtz5jN4IX+QjPk3xetcOy3JT0M0o13QgoFqGzREChPHjwgMLCQlxcXKTSLSwsMDAwwMDAgEmTJgEwZswYmjdvjp2dHS1atODXX39l586dUufl5uayZMkSvL29qVWrFhs2bOD8+fNcviyeZjJ37lx8fX0ZMWIEzs7OjB07lq5duzJ37lyp6/j6+tK7d28cHR2ZPXs2aWlpkmuUJRKTUsnPL8DcQnq6jbm5EXFxSaUTVBlBvhtj4uKSSymqsoHgRjYSL8WG64q9pMg56/PgpZviQ5nNzY2IL2GdWTjvH8qVN5HqjFIFEpPSPqKbqu/O/AmRJMeNmblhid0smrebcuWNpb4EqQJJiWlF7Y2hVLr487uEbubvwaKcarkRvMhHeJ7kI9+NEfEl/PwWu1G9dlihiBR8fAIInSUCpcLly5cJDg7G3d2d7OxsAI4fP07Lli2xtrbG0NCQfv36ER8fT0ZGhuQ8DQ0N6tSpI3nt6uqKiYkJISHiIXUhISE0bNhQqqyGDRtK3n/J64s76evrY2RkRExMjNx4s7OzSUlJkTpexi0gICDwubP2b3+OHLrMvIXfoa2tutO4/h/W/n2wyM0IwU0x1v19iCOHrjBXcPMG61Yf5uihK8xbOFxw8xqCF/kIz5N8xG4uC24E3huhs0RAoTg6OiISibh3755UuoODA46Ojujq6gIQERFB+/bt8fLyYvfu3Vy7do2lS5cCkJOT89Hj0tSUbihFIhEFBQVy8/v5+WFsbCx1+Pn5ffS4imNqYoi6utobvyjEx6dgYWGi8PLLMvLdJGNh8ebCt58TghvZSLzES/8KJfby5uJwnxMv3SS84SbljRFKxdm47jDr1hxk2d9jcXaprMgwSwVTE4MPcHOEdWsOqawbEzluEuJTS+DmKOvWHGbZ32NwdqmkyDBLBRNTg6L2JlUqXfz5/W4369ccZumq73FSMTeCF/kIz5N85LtJwfwdn9+v2uEfVNKNIilUEyn0+BQQOksEFIq5uTmtW7dmyZIlpKeny8137do1CgoKmDdvHvXr18fZ2ZkXL168kS8vL4+rV69KXt+7d4+kpCTc3MTDDd3c3Dh3Tnqhp3PnzlG16ocNuZs8eTLJyclSx+TJkz/omiVBU0sDt6p2UgsmFhQUcOniHapVd1R4+WUZ+W7u4iW4EdzI4KWXy8W8XL4Ugle1z9cLvHRjK7UA6Ss3VeSet37NIf5e8R9LV47F3cNeGaEqHfluQvGq5iD3PLGbAyxdOQZ3DzslRKp8xG5spBaTfFVv3ubmMKtXHGDJyu+pqqpuNDVwrWrDlUvS9ebKpVA83+Jmw9ojrF7pz5IVo1XSjeBFPsLzJJ+X7fDl9/6MOszqFf4q7UZAsaj20v4CZYJly5bRsGFDateuzcyZM/Hy8kJNTY0rV64QGhpKrVq1cHR0JDc3l8WLF9OhQwfOnTvHihUr3riWpqYmo0aNYtGiRWhoaPDdd99Rv3596tatC8CECRPo2bMnNWrUoFWrVvz333/s2bOH48ePf9A9aGtro62t/UZ6dv4HXbZE9Pf9kmmTV1HVwx5PTwc2bzxCZmY2nbuItySb8uMKKpQ35fuxXwHiRbDCw5+L/52bR0x0IqEhj9HT08HGtoLiA1Yi/XzbMH3y37h72OMh5aYxAFN/XEn58qZ8P7YnILgR3EC/AV8wfcpqqrrb4eHpwJZNR8nMzKZTl0YATJv8N+XLmzD6hx7ASy/ijtu83HxiYhIJDXmCnp62SnkB6DvAh58kbuzZuumYDDemjP6hOwDrVh9k+ZJ9zP5jKBUrWhAXKx7JpKenjZ6+TqndhyLoO6A1P01ZS1V32yI3x4vciKd9Tpu8pqjedANg3epDLF/yL7P/GKLybvoMaM2MKeuo6m6Lu8RNDh2L3EyfvJby5U0Y9UNXANavPszyJfuZ/cdgKlY0V2k3ffu3YsbU9bi52+HhYcfWzSfEbjo3AOCnyesoV96EUT90AcRf7FYs+Y/f/hiMlbW5ZA0PPT1t9PRUx43gRT7C8yQfsZu1VHW3k+NmDeXLm77m5lCRm29Uvh1WGJ/I6A9FInSWCCicKlWqEBQUxOzZs5k8eTLPnj1DW1ubqlWrMn78eEaMGIGenh7z58/n999/Z/LkyTRp0gQ/Pz/69+8vdS09PT0mTZrE119/zfPnz2ncuDFr1qyRvN+5c2cWLlzI3Llz+f7777G3t2fdunU0a9ZMyXf98WjzZX0SE1JZtng3cXHJuLjasHzlBMmQzKjIeNRea8xiYhPp2W2a5PWGdQfZsO4gteu4snbDVKXHr0jafFmPxIQUli3eI3GzbOX419wkoKb2agBdTGwiX3X7SfJ6w7pDbFh3iNp1XFmzQfEjhZSJ4EY2Pl/WIzEhleVL9r3mZazES2RkvGSHLoCY2CR6dZ8heb1x3WE2rjtMrTourFn/o9LjVyQ+X9aVuImPS8bFtTJLV/4gXWdEr+rMrh2nyM3NY8IPy6SuM2xER74d2VmZoSscsZs0li/5l/i4lCI3Y6Tb4dfqza4dAUVulktdZ9iIDnw7spNSY1c0Pl/WKao3+4vcVGLJytGSofHievO6m8AiNyulrjN0RHu+HdlRqbErmi++rENiYhoritw4u1Zi8QppN6LXPr//2XGa3Nw8JhZ3M7w9w0Z2UGrsikTwIh/heZLPKzev2uElK78vgRvpH1+Hjuigcm4EFIeosLCwsLSDEBD4VMnOL3s76JQFtNXrkpV/sbTDKHPoqNcXvMhBR70+mXnnSzuMMomuRgMy8s69O+NniJ5GQzLyzpR2GGUOPY3GpOcFlnYYZRJ9jaak5QaUdhhlEgPNZoIbORhoNhOeKTnoazQlPe90aYdR5tDXaFLaIXwwdtMOKfT6Eb9+qdDrfwyENUsEygwikYh9+/aVdhgCAgICAgICAgICAgICnznCNBwBpRAVFYWfnx/+/v48e/YMY2NjHB0d6du3LwMGDEBPT6+0Q/y/0Favq5RytmzZwpo1a4iNjcXV1ZXp06dLbX9cnJSUFP766y+OHTtGUlIS1tbWTJkyhaZNmyolXhCPFFAGn5obZXmBT8+NrkYDpZTzqXkB8QgKZfBpummslHI+NTf6Gsr7P/jU3BhoNlNKOfB+bvbs2fPG4vFaWlrcunVLGaECynPzvnXmJf7+/owdO5aWLVuybNmyd+b/mCjrmfo03ShnFMWn6OaTRhhWIUzDEVA8Dx8+pGHDhpiYmDBr1iw8PT3R1tbm1q1brFq1imHDhtGxY0dEIhF79+6lc+fOpR1yiTkT5a/wMi6fDGLt7K30HdsDh6o2HN91mqsBN/h1848YmRq+kT8vN485IxdjaGpA276tMLUwJj46AT0DXSo7Wis8XoDGlu0ENzJobNmOky8OKrwcgKsng9gwZwu9f+iBvZstJ/8J5FrgDWZunCzXzdxRizA0MaBNn1aYlDMhPkrsppIS3LSo2JbASMW7uXIyiHV+W+gzVuzlxD+BXAu4wc+b5Hv5/btF4jrTpxUmFiZKf56aWrXl+HPFu7l2KoiNc7bQa0wP7NxsObU7kOuBN5ixYTKGctzMGy2uMz5FbhKiE9A10KVSFeW4aWXdlnPRSmhrTgSxevZW+o0TtzXHdp3m6qkbzN4iv62ZPXIxRiYGtOv3qq3RNdDFRgn1pmGFdlyJVbwXgIsngljx61YGju+BY1UbDu88zaVTN/hz248Yy3Eza/hijEwN6NSvFabljIkramtsnRTvpk65dtxOPKDwcgDOHQti0c/bGDapO07uNhzYfoYLJ2+weMckjM3edHPywGXW/fUvi3ZOkqSJEGFi/mZeReBh2p6wZMW7OX0siPkztzHyx+64uNvw7/YznD1xg5W7JmEiw8tLol8kMHHoEiwrmmNopMu0uYMUHutLnIzb8yTtP4WXE3A0mD9+2sboKd1w87Bhz9YznD5+k7V7JmL6FjdRLxL4YfBSrKzNMDTSY9b8gQqP9SU2Bh14lq54N6eOBPP7T9sYM6Ubrp427NlyhsDjN1m/991uvh9U5MZYj1+U5KaS/qe/no7djMMKvX7ErDYKvf7HQOgvElA4I0aMQENDg6tXr9KzZ0/c3NxwcHCgU6dO+Pv706HDq8YkLi6OLl26oKenh5OTE/v375e8l5+fz+DBg7G3t0dXVxcXFxcWLlwoVZavry+dO3dm7ty5WFlZYW5uzsiRI8nNzZXk2bRpE7Vr18bQ0BBLS0u+/vprYmJiFC/i/+TYzkAat69Po7Z1qWhnSd9x3dHS0eTsQdnrpZw9eJn01AxG/jYIJ097LKzMcKnuqLQvdspEcCOfE7sCaNjOmwZf1sPKzpLeY3ugpaPFhUOXZOY/f+gS6akZfPvrYKp4OmBuaYZzdUeldJQok2O7AmjUzpuGX9ajop0lfYq8nDso28u5g2IvI34djKOng8rXmQZtvfEuqjO9fuiBlrb8OnPh0CUyUjIY9stgqniI64xTNUeldZQokyM7A2nSvj6N29bF2s6S/kVtzRl/2W3NmYOXSU/J4LvZ0m2NMjpKlM2h7YE071Cfpu3qYm1vycAJ3dHW0STwgGw3gf5iNz/4DcLZy55yVma41XBUSkeJsvlv22ladapPi/Z1qWxvybBJ3dDW0eSEHDcAiMDU3EhyKKujRJns23oan871ad2hLjYOloz8Uezl2H/yveTnFzD3py30GeKDpbWZEqNVLrs3B/Jll3q06VgXWwdLvp8idnPk3ytyz8nPL8Bv2lb6D/sCS2tzJUarXP7ZEkjbLvVo06kudg6WjJkqdnP4HW5mT93KgG+/wKqS6roRUBzCNBwBhRIfH8/Ro0eZPXs2+vr6MvO8vvPErFmz+OOPP/jzzz9ZvHgxffr04fHjx5iZmVFQUEClSpXYtWsX5ubmnD9/nqFDh2JlZUXPnj0l1zh16hRWVlacOnWKBw8e8NVXX1G9enWGDBkCQG5uLr/88gsuLi7ExMQwduxYfH19OXhQOb/4vw95uXk8vv+Mtn1aStLU1NRwq+XMwzsRMs8JPncbB3dbtv61m6BztzE0MaBey5p8+XUL1NRVp39UcCOfvNw8ntx/hk+fVpI0NTU1XGs68fDOY5nn3Dx/B4eqdmxf8A83zt/GwNiAOi1r4tO7pcq4ycvN48m9Z3z5tbQXt1pOPLwr28uN83eoUtWObQv+IfjcbQyNDajbqiZtVMgLiN08vf8Mn2JuXN/i5ub5O9i727Fj4T/cLKoztVvW5Itequfm8f1ntOsr3dZUreVMuLy25uxtqrjbsvmv3QSfLWprWtWkrQq2NY/uP6NDP2k37rWdeSDHzfWzt3H0sGXDvN1cO3sbIxMDvFvXpEMf1XKTm5tH+L1ndBnQQpKmpqaGVx1n7t+S/UwBZGXmMKzzrxQWFODgUomvh7fFxsFSGSErhdzcPB6EPqNHMS/V6zgT+hYv29ccxdjUgC861eNO8ENlhKp0cnPzuB/6nF4DpZ+nmnWduPsWN5v/PoapqQFfdq7HraBHyghV6eTm5nE/5Dm9i7up58Tdm/LdbFp1DBMzA9qqsBuFImwdLIwsEVAsDx48oLCwEBcXF6l0CwsLDAwMMDAwYNKkV8NNfX196d27N46OjsyePZu0tDQuXxb/0qCpqcmsWbOoXbs29vb29OnTh4EDB7Jz506pa5uamrJkyRJcXV1p37497dq148SJE5L3Bw0axJdffomDgwP169dn0aJFHDp0iLS0NAWa+P9IS06nIL/gjWHeRqaGJCekyjwnLjKBa4E3KSgo4Pvfh9C+f2uO7gzgwKZjyghZaQhu5JOWnE5BgWw3KQkpMs+JexHP9cAbFBQUMtJvKG37fcGJXQEc3HxUGSErBYmXYsN1DU0NSZbjJfZFPNeKvIyeM5R2/b/g2M4A/Depjhd45ab4dBvDt9SZ+Mh4gorcjPAbypf9vuDkrgAOqVCdAUiV19aYyW9rYiMTuBp4k4L8Asb8MYQO/VtzZEcA/21UrbbmpZviU0qMzQxJjpftJuZFAlcCxO3whD+H0Nm3NYe2B7Bvg4q5SRK7KT6txNjUgCQ5bqxtyzNy6lf8+MdAvp/Zh4KCQqYOWUx8TJISIlYOKXK8mJgZkCjHy53ghxzdf5lRU3soI8RSI7nIjam5gVS6qbkhiXGy2+HbQY84/O9lfpj2mbgxK+bGzJCEeNlubgU94tC/lxmn4m4EFIswskSgVLh8+TIFBQX06dOH7OxsSfrrizTp6+tjZGQkNUVm6dKlrF27lidPnpCZmUlOTg7Vq1eXura7uzvq6uqS11ZWVlKLo127do2ZM2dy48YNEhMTKSgoAODJkydUrVpVZrzZ2dlScQJoa2u//40rgcKCQoxMDOg/vidq6mrYuVQmKTaZI9tP0dHXp7TDK1UEN/IpLCzE0NSAPuPEbmxdKpMUl8yxHSdpP6DszylVFC+99Cvm5cj2k3Tw/Xy9wCs3X48Vu7FxFrs5vuMk7T7jOgOv2hrfCa/amsS4ZA5vO0WngZ95W1PkZvBEsRt718okxCbjv+0UXQd93m5cPO1w8bR79drLju97/c7RvRfoPazsb7GpCDLSs5g/YxujpvTA2MTg3Sd8RmSkZ/H7T1v5YVp3jE1lj97+XMlIz2LO9K2MnS64+SCEkSVCZ4mAYnF0dEQkEnHv3j2pdAcHBwB0dXWl0jU1NaVei0QiSWfG9u3bGT9+PPPmzcPb2xtDQ0P+/PNPLl26VOJrpKen4+Pjg4+PD1u2bKFcuXI8efIEHx8fcnJy5N6Hn58fs2bNkkqbMWMGLb+t8y4FH4SBsT5q6mqkJEr/2pKSmCpzcTgAY3ND1DXUpYYzW9lWIDkhlbzcPDQ0VeOxF9zIx8BYHzU12W6MzIxknmNsZoSahpqUG0vbCqSokBuJl2KjAVITUzGW58XcCHV11fYCr9ykJr7pRl6dMTIzQr14nbFRPTeG8tqaBKGteemm+Aib5IRUjOWstWFiYYi6urQba9sKJMermBsTsZuk4m4S00q8DomGhjr2ztZEPotTRIilgpEcL0kJaZjK8BL1PJ7oyAR+HrdWklZYIN6boqP3BFbumoRVJQvFBq0kjIvcJMZLj3ROjE/F1OLNdvjFs3iiXiQy/Yd1krSXbnzqTmTd7olUrKxibhKKuUlIxcxcvptpY95007rORDbsUR03AopFmIYjoFDMzc1p3bo1S5YsIT09/YOude7cORo0aMCIESOoUaMGjo6OhIeHv9c1QkNDiY+PZ86cOTRu3BhXV9cSLe46efJkkpOTpY7i2/spAg1NDWydKxFyLUySVlBQQOj1MBzc7WSe4+hhT8zzOEkHEUD0s1iMzY1U5o9QENy8DQ1NDWycK3Hv+n1JWkFBAfeuh+HgbivzHAcPe2KLuYl5GqNSbjQ0NbBxqURoMS8h18JwqCrbi+Nn4AXEbirLqzNy3MisM89U042stibkehhV5LQ1Tp4y2pqnqtnW2DtX4k4xN3euheH4FjfRxdxEPo3FRMXcaGpqUMWlEreuSLu5eSUMZ0/Zz1Rx8vMLeBweiamML4OfKpqaGji6VuJGMS83robhKsNLJdvyLNk2nkWbx0qOeo2r4lmrCos2j8WigokSo1csmpoaOLtaE1TMTdCVB1SV4cbGrjyrdoxjxdYfJId3k6pUq12FFVt/oJyliRKjVyyamho4u1kTdLmYm8sPqOol283qneNYte0HyeHdtCrVa1dh1TbVcqNICkUihR6fAkJniYDCWbZsGXl5edSuXZsdO3YQEhLCvXv32Lx5M6GhoVJTZt6Gk5MTV69e5ciRI9y/f5/p06dz5Yr8FbBlYWNjg5aWFosXL+bhw4fs37+fX3755Z3naWtrY2RkJHUoaxpO655NOe1/kXOHr/AiIprN8/8hOzOHhl/WBWDNb1vZverVVn/NOjcgPSWD7Yv2EfU0hpsX7uK/+TjNuzRUSrzKRHAjn5Y9mnH2wEUuHL5M5ONotv31D9lZOXi3qQfA+tlb2Pf3KzdNOjUgIzWDXUv2Ev00hlsX7nB463Gadm5UWregEFr3aMaZAxc5X+Rly1//kJOVQ8MvxV7Wzt7CntfqTNNODUhPzWDHYrGXmxfucHDLcZqpmBcQ15lz/he5eOQyUY+j2b5AXGfqF9WZDX5b+Pf1OtNRXGf+Kaozty/e4cjW4zTppHpufHo2JfDARc4dErc1m+aJ25pGbcVtzd+/beWfla/cNO8kbmu2FbU1N4ramhYq2NZ82aspAf9d5PShKzyPiGbdXLGbpu3Eblb8spUdK165adW5AWkpGWxauI/IJzEEnb/L/k3Had1V9dx06N2E4/svccr/Cs8eRbPqj91kZ+XQosjNollb2bzs1RbPO9ccJfjSPaKex/Mw9BkLZ24hLiqRVp3qldYtKITOXzfhyL+XOHHgCk8fRbPs991kZebQqr3Yy7wZW1m/VOxFS1sTuypWUoe+oS56etrYVbFCU4U62AC69W3Kwb2XOPrfFR4/imaR3x6yMnPw6Sgeyfz7T9tYs1i8IYGWtib2jlZSx0s39o6q56Z7n6b4773Ekf+u8PhhNAtmS7uZM30bq9/ixsBQF1191XQjoDiEmiKgcKpUqUJQUBCzZ89m8uTJPHv2DG1tbapWrcr48eMZMWJEia4zbNgwgoKC+OqrrxCJRPTu3ZsRI0Zw6NChEsdSrlw51q9fz5QpU1i0aBE1a9Zk7ty5dOzY8f+9PYVTt0UN0pLS+HftYVISUqjsaM2YP4dKhn/HxyQiem1OoVl5U374cxg7lu5j5qC5mFoY06pbE778uoW8Ij5ZBDfyqd2iBmnJaRxYL3ZTqYo1o34fJlncNEGGm1F/fMuupfv4dfCfmJQzpnnXJvj0bimviE+SOi1qkJqUxv51RV4crRn9x2teohOldugyK2/K939+y84l+5g1SOylZbcmtFExLwC1movdHFh3mNTEFKyrWDPytTqTWKzOmJY3ZeTv37J72T5mf/MnJhbGNOvahC96qZ6bui3FbvatPUxyUVvzw9xXbU1CdCJqr9ebCqaMnTuM7Uv28dPAoramexPaqmBbU79lDVKS0ti9WuzG1tGaifNeuYmLlq435hVMmTR/GJsX7WOKr9iNT48mdOijem4atq5BclI62/8+QlJ8CvZO1kz7a4hkGk5cVJJUe5Oemslyv10kxadgYKiHg2slfls1isr2qrMbDkCT1jVITkxn86ojJMan4OBszc8Lh0im4cRGJ6H2ma6V0OyL6iQlprFhxRES41Op4lyR2Yu/kbiJiZL+jPqcaO5TneTENNYvL3LjUpE5S77B7HU3n2m9URjCsApEhYWFhaUdhIDAp8qZKP93Z/oMaWzZTnAjg8aW7Tj5ouxtUV0WaFGxLYGRghtZNLVqy/HnghtZtLJuy7looa0pTsMK7bgSK3iRRZ1y7bideODdGT9DPEzbE5YsuJGFk3F7nqT9V9phlElsDDrwLF1wU5xK+h1KO4QPxna2YncpezyltUKv/zEQ+osEyjQBAQGIRCKSkpJKOxQBAQEBAQEBAQEBAYHPA5FIsccngDCyREBhREVF4efnh7+/P8+ePcPY2BhHR0f69u3LgAED0NPTe+c1cnJySEhIoEKFCp/tsMMrV66wZs0abt++TWxsLEuXLqVVq1ZvPefSpUvMmTOHsLAwrKysGD58OF27dlVSxMrhfb3ExMTw+++/c/v2bR4/fky/fv2YOnWqEiMWEBAQEPhcED67386WLVtYs2YNsbGxuLq6Mn36dLy8vGTmzc3NZeXKlezbt4/o6Gjs7e0ZP348TZo0UXLUyuF93ACsX7+ebdu2ERkZiampKT4+PowbN05pa+spE8GNcrH1O67Q6z+e/PY2sSwgdJYIKISHDx/SsGFDTExMmDVrFp6enmhra3Pr1i1WrVrFsGHDyvQ6ISWlf2CgwstIunWL1PBw9G1tCVu+HKfhwzGrUUNu/qy4OG7NnEn5pk0p36gRySEhPN65E5dRozBxd1d4vAAbmzal24kzCi0j9c4tMsIfoGtjy5NVy7AZOhKj6vK95MTHEX/iGDo2tsSfPIa+kwtWPXopNMbi7G7ZmIZ7zyq8nPoVTPE0M+ReUjp+9d348eJdzkQmyM3/vac9sVk5XI9NJi03j3a2FejtZM2QgBuEJX/YLlYl5VyXRtTertg6A9DAypRqFkaEJKQxt3FVxp25S+DzeLn5XUz0sTPSIywpncz8fKpbGDGljhPzgx6yNzxK4fECXO3VmOpbFO+mYUVTqpcz4m58Gn81rcoPgXc59ewtbkz1sX/pJi+f6uWMmF7PibnXHrL7gXLcBPdpTN1din+mvC1NqWZuSGhiOn80dGPCubsEvpD/TDmb6GNnqMuD5Awy8/KpZmHE5FqO/BX8kH2PohUe7+UejWh3VPFealmYUtXEkAcp6Uyr7sYvQXe5GCvfS3kdbTrbWvMgJY3OthW5lZjM3/ceKTzO1/H/ohGDzgQovJzEW7dJefAAA1tbQpetwHXkcMxrVJebPys2jqAZs7Bs2oQKjRuRHBrKw+07qTr6O0w9lPPZvbZxM6ZePaHwcp5euMqVFRupOag3ZlXsCDt8kmeXruMzdyY6xm9uH3xz216enLtMrW/6YFjRkuibd7mxeTfNZ47H1K6ywuMF+K12SxbeOarwcsLOXuPEos00HfYVFZxtuXkggPDzQfRePB09kzfd3D99lVNLt9B8ZB8sXe1JehHDycWbcWpUi4YDldPR9r37F6y7f0Th5YScuc6B+ZvwGfkVFZ1tubI/kNCzQQxdMQ19GW7uBFzl4KKttB39NdZu9iQ+j8F/4RbcGtek5TeKdzPQ2UfhZSga298V2x48nvR+a5ydPn2aP//8k2vXrhEZGcneQ66z2gABAABJREFUvXvp3Lmz3PwBAQE0b978jfTIyEgsLUu2FpQwDUdAIYwYMQINDQ2uXr1Kz549cXNzw8HBgU6dOuHv70+HDh2IiIhAJBIRHBwsOS8pSbzYWUBAAPDmNJz169djYmLCkSNHcHNzw8DAgDZt2hAZGSlV/urVq3Fzc0NHRwdXV1eWLVsm9f6kSZNwdnZGT08PBwcHpk+fTm5uriKV/N+YeHpSuXPnt3aQvE5MYCDaFhbY9uiBrpUVli1aYFazJlHHFds7rGwM3T2p0LELRtVrlii/lrkFVj17Y1q/AWq6ugqOrnS5GJ3I3yFPOB0p/4vu6yy89YitYc8JTUrjWXoWK+8+5llaJo0szRQcqfI5H5nI8luPCXhLB8nr3EtK58iTWB6mZBCZns2hx7FciEykRjnV2crzJedeJLL0xuO3dpC8zr3EdA4/jiU8OYMX6dkcjIjl/ItEapRXPTcXohJZcecJAS9K5uZ+UjpHn8aJ601GNoefxHIxKpHq5YwVHKlyuRaXyKYHT7gQUzIvMVnZrLr3kJORMaTn5Ss4utLF1NMD2y6dMa9Zss/uqMBAdCwssP+qB3oVrbBq0RyLWjV5cUy1PrsB7h86iX3zhtg19caokhU1B/VGXVuLiMDzMvM/OXsZ145tsKrugUF5C6q0aoJVdXfCDqqemxv/naJqa2/cWtbHrLIVTYd9hYa2FqEnL8jMH3XvIZauDjg3qY1ReXNsqrvh1KgW0WGPlRy54rm87xTVfBrg1ao+FjZWtBnRE01tLW4euygz//PQR1Ryc8C9WW1MKphjX9MNtya1iLz/RMmRC3ws0tPTqVatGkuXLn2v8+7du0dkZKTkKF++fInPFTpLBD468fHxHD16lJEjR6Kvry8zz4dMqcnIyGDu3Lls2rSJ06dP8+TJE8aPHy95f8uWLfz000/89ttvhISEMHv2bKZPn86GDRskeQwNDVm/fj13795l4cKF/P333/z111//d0xlibSHDzF2c5NKM3F3Jy08vJQiEvjUEAG6Guqk5OaVdihlDhcTfbwsjLgWk1zaoZQ5XEz1qVbOiGvRgpviOBfVm6BYwY2AbFLDH2Jc1VUqzcS9KqkPH5ZSRIqhIC+PpEdPKO/hIkkTqalRwcOV+DDZo4wK8vJQ15LewFNdS5O4e6r1d01+bh6x4U+p5CXtppKXC1H3ImSeY+niQGz4U6LDxO8nR8Xx+PpdbGtWVULEyiM/N4+oB0+xqybtxq66C8/ljE6zdrUnKvwpL+6LO46SouJ4ePUuDrVVy41CURMp9nhPvvzyS3799Ve6dOnyXueVL18eS0tLyaGmVvIuEGHrYIGPzoMHDygsLMTFxUUq3cLCgqysLABGjhzJ8OHD/6/r5+bmsmLFCqpUqQLAd999x88//yx5f8aMGcybN08yz9fe3p67d++ycuVKBgwYAMC0adMk+e3s7Bg/fjzbt29n4sSJ/1dMZYnc5GQ0jKR/2dU0MiI/K4uCnBzUtLRKKTKBT4XeTtboaahz4llcaYdSZvDvWBdTbU3URSJW3XnMvw8VP5XiU+FIl1duVtx6zN5wwc1L/mtXR+xGTcTfd57wrxKm4Ah8muSkpGAq67M7M4v8nBzUVeSzOzs1jcKCAnSMpe9V28iQlBeyn48Knm6EHTyJhasTBuUtiLlzj+dXgiksUK2VBLJS0yksKEDPRNqNrokhic9lu3FuUpus1DT2Tl0AhYUU5Bfg7tOIWt0//Skgr5ORInajbyo93UbfxJD4Z7LduDerTWZKOpsnLZC4qfFlQxr0/EIJEQuUJapXr052djYeHh7MnDmThg0blvhcobNEQGlcvnyZgoIC+vTpQ3Z29v99HT09PUlHCYCVlRUxMTGAeHhWeHg4gwcPZsiQIZI8eXl5GBu/Gv68Y8cOFi1aRHh4OGlpaeTl5WFkJH/oeHZ29hsxC4tDCagirSuVY5CrDT9evEtSTtmcmlYaDDlxA10NdTzNjfiumh3PUrM48iS2tMMqEww8egM9TXW8zI0YXcOOp6lZHH4suAEYduomuhrqeJgb8p2nHc/SMjn6VOiEFBB4H6r378G11Vs4Mn4WIpEI/QoW2DXx5lGg7KkpnxPPb4dxbfdRmgzpSQVnO5IjYzm7djdXdx6mds82pR1eqfL4VhgXdh3F59seWLnYkRgZy4lVezi3/TANe33ebkqMgvfWkPf96mN9x7KysmLFihXUrl2b7OxsVq9eTbNmzbh06RI1a5ZsGr/QWSLw0XF0dEQkEnHv3j2pdAcHBwB0i9aLeDkE6vU1hkuyboimpqbUa5FIJLlGWloaAH///Tf16tWTyqeurg7AhQsX6NOnD7NmzcLHxwdjY2O2b9/OvHnz5Jbp5+fHrFmzpNJmzJgBMhYNKm00jY3JS0mRSstNSUFdR0cYVSLwVlpaW/BjDUemXQ7lqjBdQIoX6eIP8/DkDMx1NBnqYSN0lhTx0s2DpAzMdDX51stG6Cwp4kVGUb1JycBcR4sh7jZCZ4mATLSMjMiR9dmtq6Myo0oAtA0NEKmpkZUsfa/ZKalvjDaRnGNkSIOx35Kfk0tOWjo6psbc2r4Pg/IWyghZaegY6iNSUyMjSdpNZlLqG6NNXnJ52wFcmtalausGAJjbViQ3O4fA5duo1f0LRO8x3aAso2ckdpOemCqVnp6U+sZok5ec2eyPe/M6VPMRuylvV5HcrBwOL9lOg56q40aRFP4fU2XeB3nfr2bOnPlRru/i4iI106FBgwaEh4fz119/sWnTphJdQ6glAh8dc3NzWrduzZIlS0hPl7+TRrly5QCkFmd9fbHX/4cKFSpQsWJFHj58iKOjo9Rhb28PwPnz57G1tWXq1KnUrl0bJycnHj9++0JYkydPJjk5WeqYPHnyB8WqKAwcHEgOCZFKSw4JweC10TgCAsVpVcmCqbWcmHH1HheiE0s7nDKNSCRCU134+JSFGiK0hD9AZSICNAU3AnIwrOJAckioVFrS3RAMi35oUhXUNDQwsbch5s6rH9QKCwqIuX0Pcyf7t56rrqWJrpkJhfkFPL8SjFUt+VvGfoqoa2pQrkplnt+8L0krLCjg2c37WLrYyTwnLzv3jXUA1Yq+4KrSfqfqmhpYOlYmopibxzfuYe0iu97kZucgUivu5uUPtYqLVaDklMb3q7p16/LgwYMS5xdGlggohGXLltGwYUNq167NzJkz8fLyQk1NjStXrhAaGkqtWrXQ1dWlfv36zJkzB3t7e2JiYqTWEvl/mTVrFqNHj8bY2Jg2bdqQnZ3N1atXSUxMZOzYsTg5OfHkyRO2b99OnTp18Pf3Z+/evW+95sccEva+5GdlkRX76lfa7Lg40p8+RUNPD21zc57s2UNuUhJVBg0CoHzTpkSfOsWTf/6hXMOGpNy7R/zVq7iMGlUq8SuK/KwscmJjJK9z4mPJfPoEdX19tMzMidq3m7ykJCr5DpbkyXwqXgG9IDubvLRUMp8+QaShgY5VRaXHr0h01dWoZPBqx5+Kejo4GeuTkpNHdGY231a1xUJXm1+vif/oaF2pHNNqObHg5kPuJqRipi0evZWdX6ByO1boaqhR+TU31vraOJvok5yTR3RGNiO97Civq8WMS2I3PRytiMrIJiIlA4Ca5Y3p62rNjvsvSiV+RaKroYaN4WtuDLRxMdUnOTuPqIxsRlUXu5l+QezmK2crItOl3fSvas22eyropvgzpS/9TI3wsKW8rjYzr4jddK8irjePU8VualgY08fFmp1hquVGR12NinqvvFjq6uBgqE9qbh6xWdkMcLTFXEeb+bdffcFxMBQv/K6rroaxliYOhvrkFhTwND1T6fErkvysLDJjXn12Z8XGkfbkKZr6+mibmxGxey85SUk4Dx4IgGXTpkSeDCBi127KN2pIcmgocVevUXX0d6V1CwrD+csWXFm5EVN7W8yq2BJ2+BR52dnYNfUG4PLy9eiamuDZqzMA8Q8ekZWYhLFtZTITkri7xx8KCnBp37oU70IxVOvQnJOLN1PO0YbyTrbc/C+AvOxsXFvUB+D4wo3om5vg3bcjALa1Pbjx3yksHCpRwcmW5Mg4Lm3zx7a2B2oq1qlft3NzDvy1GSvHylg523L13wBysnLwaiUeSf7f/E0YmhvTbIDYjWNdD67sO0UFh0pUdBZPwzm9xR/HuqrnRmF8wIYcJaE0vl8FBwdjZWVV4vxCZ4mAQqhSpQpBQUHMnj2byZMn8+zZM7S1talatSrjx49nxIgRAKxdu5bBgwdTq1YtXFxc+OOPP/jiiw9beOmbb75BT0+PP//8kwkTJqCvr4+npydjxowBoGPHjvzwww989913ZGdn065dO6ZPn/7Rhnx9bNIfPybktSlCT3btAsDC25sqAweSm5xMdkKC5H0dCwtcRo3i8c6dRJ08iZaJCQ79+2Pi7q702BVJ5pMIIhbMlbyO2r0TAJP6DajUfxB5KcnkJEpvZxnu92oh4Kwnj0m+cglNM3Ncfv1dOUErCVdTQ5Y09pS8Hu0l/mXy4ONofrsehrmOFhV0X304dbSzRENNjfHVHRlf3VGS/jK/KlHVzJCVLV79Gjm2pnjE1X+Popl16T4WulpY6r9yoyYS8Z2XHRUNdMgvKORZWhaLb0Sw50HkG9f+1HE3M2R161duxtcSu9kfHs1PF+9TTkcLq9fciBAxurod1gY65BW5WRgUwT9hqufGzcyQFc1ePVM/VBc/Uwciovn5ShgWulpU0Hu93sBIT1sq6uuQXyh2s/RmBHseRik9dkXiZGTInDqvvAxxFXs5/jyav+6EYaatRTkd6T+EF3u/2krXydiQ5lblic7MYtCZq8oJWkmkRTzm9tz5ktcRO8Wf3eUbeOM0yFf82R3/2md3OQuqjv6ORzt28eLESbRNTXAc0A9TD9X67Aao7F2b7NQ07v5zgKzkFIxtK9Fo0neSaTgZ8YmIRK++zBbk5nJ753+kx8ahoa2NZXV36g4fgJa+XmndgsJwalSLrJQ0Lm/zJyMpFQt7a9pPHyGZhpMWlyg1WqJ2Dx9EIri09QDpCcnoGhlgV9uDen3al9YtKAy3xjXJSE7jzJaDpCemUN6hEl/NGo6+qdhNSmyi1Cibhl/5IBKJOL3Zn7T4ZPSMDHCs606Tfqrn5nMhLS1NalTIo0ePCA4OxszMDBsbGyZPnszz58/ZuHEjAAsWLMDe3h53d3eysrJYvXo1J0+e5OjRoyUuU1RYKAxEEhD4f+kfGFjaIZRJNjZtSrcTZ0o7jDLH7paNabj3bGmHUSY516URtbcLdUYWV3s1pvoWwY0sgvs0pu4u4ZkqzuUejWh3VPAiC/8vGjHoTEBph1EmWdu4GVOvnijtMMokv9VuycI7Jf+C9TnxvfsXrLt/pLTDKHMMdP70dySyWajY7zlPvm/6XvkDAgJoLmO9yAEDBrB+/Xp8fX2JiIggICAAgD/++INVq1bx/Plz9PT08PLy4qeffpJ5DXkII0tUlJeVKTExERMTk9IO553MnDmTffv2ffCaJQICAgICAgICAgICAgKqRbNmzXjbOI/169dLvZ44cSITJ078oDKFkSVlkKioKPz8/PD39+fZs2cYGxvj6OhI3759GTBgAHp67x52mJOTQ0JCAhUqVHhj4Sdl83r56urqVKxYke7du+Pn5yeZp5aWlkZ2djbm5ualFWaZZsuWLaxZs4bY2FhcXV2ZPn06Xl6yFzbbs2fPG4sjaWlpcevWLWWEqnQEN/IR3MhG8CIfwY18BDfyEdzI533cvI6/vz9jx46lZcuWLFu2TAmRKhfBi3wEN/IR3CgXm0UKHlky+v1GlpQGwsiSMsbDhw9p2LAhJiYmzJ49G09PT7S1tbl16xarVq3C2tqajh07vvM6WlpaWFpaKiHikrFu3TratGlDbm4uN27cYODAgejr6/PLL78AYGBggIGBQSlH+f7cSTyg8DLOHgtikd82hk3qjrO7DQe2n8F3UH8W75iEidmb26U9Tw9GT1+HxTsnSdJEiJQS60vcTdsLbmTgbtqemwnKKevc8SCW+G1j6MTuOLrb4L9D7Gbh9kkYy3DzND0YXX0dFu54zY1IpLR4vcyU4+ZT8wJiN7eVUEfPvfY8ORV7nmS5eVb0PC0q9jwpI9aXeJi2526SctqahX7b+LaorfmvyM2SnbLbmhcZYjdLdkm7UUasAFVN2hOqpLLOHAtigd82hhdzs0yOm8giN8uKuVFWvK4m7QlLVk5Zp48FMd9vGyN/7I6Luw3/FrlZuUu2m5dEv0jgtzlLcK/uQHpulNLidTJuT3jKfwovJ/B/7J13VBRXH0DvLlIEpAgWRKT3ImCJvSvW2DXGhj2xJMZYQqwk+SyJvUQTKxpLTCzR2HsUe8GKiNgVFZAuHb4/wNWVHfsuxXfPmXPct29mfnOd92Z4+8ruEGZMWcvQ7zri4lGJzWsP06dvL37/e/QbeFmAu48tyZkPNRLrM+yN2nBdA+f77wU3znlu/N/BjSZifYaDcKMSB6M2GjmPQL2IqYALGYMHD6ZEiRKcPn2aLl264Orqip2dHW3btmXbtm20adOGW7duIZPJlIasxMXFIZPJFGO0Dh48iEwmIy4uDsjtlmRiYsKuXbtwdXXF0NCQ5s2bKy3bC7BkyRJcXV3R09PDxcUlX+vrmDFjcHJyQl9fHzs7O8aPH09GRsZrr8vExITy5ctjZWVF69atadu2LWfPnlV8P2nSJLy9vRWfDx48SPXq1TEwMMDExITatWsrlvc9f/48DRs2pFSpUhgZGVGlShVOn86dGC4mJoZu3bphaWmJvr4+np6erF27VikWGxsbZs+erZTm7e1daCd43br2P5q2rUHj1tWxsi3PoDEd0dXTZv+/J6V3koGpmZFiMzGTfogUZYQbaf5d+x+NP61Bwzw3A0d3REf31W5kL7t5xctHUUV4kWbr2v9o0rYGjV4qT/tEeWLLs7qmTXWs7MrzxXd5brYKN/+s/Y9mbWvQpE11KtmV58s8N3tf4SZfmSqmbjav+Q+/djVomudmSJ6bPa9wk5WVzfQJq+k+wI/ylqU1GK3m2LTmEM3bfUKzT3O9DA3I9bJ7yynJfbKysvl5/Bp6DGyGRYXi2wv5mZumL7jRewM3v4xfQ/eBzSgv3CjxsbhRF3K5ereigOhZUoiIiYlh9+7dTJ48GQMDA5V53mdIzdOnT5k+fTqrVq1CLpfTo0cPRo4cyerVq4Hcrm0TJkxg/vz5+Pj4cO7cOQYMGICBgQG9e/cGoFSpUqxYsYIKFSpw8eJFBgwYQKlSpd5qPNi1a9fYv38//v7+Kr/PzMykXbt2DBgwgLVr15Kens7JkycV1969e3d8fHxYuHAhWlpahISEoK2du9RpamoqVapUYcyYMRgZGbFt2zZ69uyJvb091atXf2d3BUVGRiYRYffo0LuRIk0ul+NVzYmwi7cl90tNSWdgu5/Iyc7Gzrki3b9sSSW7wtPT6EMg3EiTkZHJjbB7tO+V3821S69282X7XDe2zhX5/IuWWBUjN8KLNM/KU3sV5enaa8rToBfK0+fFtDxFXL1Hx3epa9r+RHaemx6Di6+bTi+5qfwaNykp6fTPc2PvXJGexdTN9av36PySG+9qTlx9hZt1S3djbGpIs7afcDnkhiZC1Si5Xu7Txb+xIk0ul+Nd3fGVXtYu2YNJaUP82n7C5XM3NRGqxhFupBFuBAWFaCwpRFy/fp2cnBycnZ2V0s3NzUlNTQVgyJAhfPnll+90/IyMDBYtWoS9fe5ykEOHDuWHH54vpTpx4kRmzJhBhw4dALC1teXKlSv89ttvisaScePGKfLb2NgwcuRI1q1b99rGkm7duqGlpUVmZiZpaWm0bt0635jlZyQkJBAfH0/r1q0Vsbq6uiq+v3PnDqNGjcLFxQUAR0dHxXeWlpaMHDlS8XnYsGHs2rWL9evXF8nGksS4ZLKzsvP9km1iasj9W49V7mNpXZYhY7ti42DB06RU/ll9kO8HzGP22lGYlzXRQNSaQbiR5pmbl4dOGJc25P5t1W4qVCrL4O+7UinPzdY1Bxk7cB6z1ozCrJi4EV6kkSpPxm9QnqxfKE9j88pTcXTz8n1j8qr7xrosQ8fl1jXJeW4C+s9jztpRmJcz0UDUmiFBqh4ubcg9CTeW1mUZNu55Pbx59UHG9J/HPOGGyyE32L3lJHP/GKGJEAuEZ15MSysPvTYpXYq7EnXN5ZCb7Npykvmri68XePGeeTs3u7ecZJ5wk4+PxY06KeBpLwsFRaQDzMfNyZMnCQkJwd3dnbS0tHc+jr6+vqLxAcDCwoLHj3MrmOTkZCIiIujXr59i/hBDQ0N++uknIiIiFPv8+eef1K5dm/Lly2NoaMi4ceO4c+cOkNuI8eK+kydPVuw3a9YsQkJCOH/+PP/++y/Xrl2jZ8+eKuMsXbo0/v7++Pn50aZNG+bMmaM0XGjEiBH079+fJk2aMHXqVKX4srKy+PHHH/H09KR06dIYGhqya9cuRYzvSlpaGgkJCUrb+/xfqBNnTxsatqyKrZMl7r72jJ7mj5GpAbs3HSvo0Aoc4UYaZ08b6r/gZuRUf4xMDNjzkbsRXqRx9rShgShPKnF5oa7x8LVnjHCjwMXThkYtq2KX5+a7PDe7PnI3T5NTmTlxLcO+74yxSdGbw01dPE1OZfrENXz1fSeMTVT3uv5YeZqcygzhRiXCjeBDIXqWFCIcHByQyWSEhYUppdvZ2QFQsmRJILfbGaC0dNKbzBvybKjKM2QymeIYSUlJACxevJhPPvlEKZ+WlhYAx44do3v37gQGBuLn54exsTHr1q1jxowZAFSoUEFpHpXSpZ+PtS1fvjwODg4AODs7k5iYSLdu3fjpp58U6S+yfPlyvvrqK3bu3Mmff/7JuHHj2LNnDzVq1GDSpEl8/vnnbNu2jR07djBx4kTWrVtH+/bt+eWXX5gzZw6zZ8/G09MTAwMDhg8fTnp6uuLYcrk837JTr/M3ZcoUAgMDldImTpxI56+rvnK/96WUiQFyLTlxTxKV0uNik954jHeJElrYOlny8F60OkIsMIQbaZ65iX/JTfyTd3Bzv/i4EV6kkSpP8e9QniI/kvIU9yTpjeevKa5ujKTq4SdJmL6FG7uPzY2KMvXwfgyPIp/ww7fLFGk52bnvKp/WHMVvf43BoqK5eoPWAM+8xD5JUkqPe5JIaTOjfPkj78Xw6EEsgd8uV6Q989K6xmgW/z26WHiBF++Z/G5M39JNmxqj+V24+SjcqBPRs0Q0lhQqzMzMaNq0KfPnz2fYsGGS85aUKVMGgMjISHx8fACUGinehXLlylGhQgVu3LhB9+7dVeY5evQo1tbWjB07VpH2bNJVgBIlSqhs+FDFswaYlJQUyTw+Pj74+PgQEBBAzZo1WbNmDTVq1ADAyckJJycnvvnmG7p168by5ctp3749wcHBtG3blh49egCQnZ3NtWvXcHNzUxy3TJkySj1VEhISuHnz1eMYAwICGDFCuRufrq4u15/ueaPrfVe0tUtg71yRC6fC+aS+J5B7TRdOhdOyc+03OkZWVjZ3IiLxren6+sxFCOFGGm3tEtg5V+Ti6XCqv+Dm4ulwmnd6Ozc+tYqPG+FFmmfl6aKK8tTiLcrT7WJanuxd8tc1F9/SzZ2ISHyL432T56bGe9TDtyMiqVIM3Ti4VOT8qXBqNnju5vzpcFqrcFPRuizz145USvtj4Q6ePk1j4Lftis0QpVwvlpw/FU6tBh5ArpeQU9dpo8KLlU1Zfl37rVLaykU7SUlOY9C3bYuNF3juJuRUODVfcqPqnrGyKcuCl9ysynMzULj5aNwI1ItoLClk/Prrr9SuXZuqVasyadIkvLy8kMvlnDp1iqtXr1KlShVKlixJjRo1mDp1Kra2tjx+/FhpLpF3JTAwkK+++gpjY2OaN29OWloap0+fJjY2lhEjRuDo6MidO3dYt24d1apVY9u2bWzatOmNjh0XF8fDhw/Jzs4mPDycH374AScnJ6W5SJ5x8+ZNfv/9dz799FMqVKhAWFgY4eHh9OrVi5SUFEaNGkWnTp2wtbXl3r17nDp1io4dOwK585f8/fffHD16FFNTU2bOnMmjR4+UGksaNWrEihUraNOmDSYmJkyYMEHReCOFrq4uurq6+b94+kaX/1606VaPeT+uw8HVCke3Smz98z/SUtNp1Cp3DpY5gWswK2NMj8GtAFi/dDdOHtaUr2hOcmIK/6w+QNTDWJq0/eRVpymSCDfStO5WjwU/rsPexSp3idx1uW4ats51My9wDaXLGNM9z81fL7pJSmFLnpvGnxYvN8KLNM/Kk31eefr3pfI0N8+NqvL0NDGFzasPEF1My9On3eox94cX3Kz7j9TUdBrn3TdzJuW66Tkk182fS3bj7GFNeavcumbzH7n3TdNieN+07VaPOT+8UA/nuWmS52bWpNx6uFeem3V5bizy3Gwqxm7afV6PWYHrcHS1wsm9Ev+s+4/UlOduZkxcg1lZY/yHtEJHVxsbewul/Q1K5fYofjm9qNP+8/rMDFyHo2vFXC9rD5OWkk7TNtUAmD5xLWZljOkztGWuFwfl6zc0zPPiULy8gGo3qS+4mZHnxl/CjYFw81G6URfvs7BIcUE0lhQy7O3tOXfuHJMnTyYgIIB79+6hq6uLm5sbI0eOZPDgwQAsW7aMfv36UaVKFZydnfn5559p1qzZe527f//+6Ovr88svvzBq1CgMDAzw9PRk+PDhAHz66ad88803DB06lLS0NFq1asX48ePfaMndPn36ALmFrnz58tSrV4/JkydTokT+W1BfX5+rV68SFBRETEwMFhYWDBkyhEGDBpGZmUlMTAy9evXi0aNHmJub06FDB8UQmXHjxnHjxg38/PzQ19dn4MCBtGvXjvj4eMXxAwICuHnzJq1bt8bY2Jgff/zxtT1LCpI6TX1IiEtm7eJdxMUkYOtoyfhZAxRd46MfxiF/oTJLSkzh1yl/EReTgGEpfexcKjL592FY2RavlQZAuHkVtZv4kBCbzJ9Lct3YOFoydtYAxbCB6EdxyOTP3SQnprBoaq4bgzw3/yuGboQXaWo39SE+Lpl1L5SncS+VpxdfnJITU1j4Unkqrm6e1TXrft9FbEwCtk6WTJj93E2Uivvm1yl/EZvnxt6lIlMWDyt2qygB1M1zs+YFNxNfcBP9KA65XLkeXvCSm2mLhxW71XAA6jX1IT42mT/y3Ng5WfLDnAGKYThRL7n5WKjfzJuEuCRW/baL2JhE7Jwq8MPc/s+9PIxVenZ/TNRr5k18XBJ/vMLNx/oHrHAjKAhkOS9P3iAQCN6Yy7H/FnQIhRJ309bCjQrcTVtz4Ynwogqv0sKNFF6lW3NJlCeVeJi25kqccPMybiatuSq8qMTFpDXh8cKNKhyNWxORsLWgwyiU2Bu14bpwoxIH4UYlDkZtCjqE98Zh0X9qPf71L+qp9fgfAtGzRCAQCAQCgUAgEAgEAoEC0VFH9CwRaBh/f3/i4uLYvHmzIu3vv/+mR48e/O9//+Pbb7+V3vkjZvXq1SxdupSoqChcXFwYP348Xl5eKvPu3r2bRYsWcefOHTIzM7G2tqZPnz60a9dOs0FriLdxs379ejZv3kx4eDgA7u7ujBgxQjJ/UUe4UY3wIo1wI41wI41wI41woxrhRRrhRhrhRrM4/qbeniXhgwp/zxLRWCLQKC83lixZsoQhQ4awaNEixbwmRYm49B1qP8eenWcJ/H41Y8Z3wd3LmnWrDrF/dwjrt35PaRXLD545FU5iQgrWtmXR1i7BkUOXmTv9H2YuGECN2ppZbcBEpwXx6bvUfp49O88y6ftVfDe+q8LNvt3n+GvrOJVuxo8JorKPHV7etujoaLNy2V4O7r/Auk0BlNXAzOjGOn4a8QLCjRRFzQsIN6/CWMePhAz1rkoGsHvHmVw3E7ri4WXD2lUH2Lf7HH9vnaDSzbgxK/Lc2KGrU4KgZXs4uO8Cf24eqxE3RtpNNeIFhJtXIdyopqh5AeHmVRhpNxXPKBUY6/ip/RzqxmmxehtLrg0o/I0l8oIOQPDx8vPPPzNs2DDWrVunaCj5559/8PX1RU9PDzs7OwIDA8nMzFTsI5PJWLJkCe3bt0dfXx9HR0e2bNkCQE5ODg4ODkyfPl3pPCEhIchkMq5fvw7AzJkz8fT0xMDAACsrKwYPHkxSkvK67YWJtSsP0rZjTdq0/wQ7+/J8N6EzeiV12LrphMr8Vao50qCxF7Z25aloZc5nPerj4FSBkLOFdxLbd2XNygO061iLNu1rYGdvwXcTuuS5Oa4y/4/TetPps7o4uVTExq4cYwO7kZOdzakT1zQcufoRblQjvEgj3EizZuV+2nWqxafta2Jnb0HAhM/Q09Nhy6ZjKvP/NM2fzp/Vw9mlIjZ25RkX2J2c7BxOHQ/TcOTqR7iRRrhRjfAijXAjjXhGCQoC0VgiKBDGjBnDjz/+yL///kv79u0BOHz4ML169eLrr7/mypUr/Pbbb6xYsYL//e9/SvsGBgbSpUsXLly4QMuWLenevTtPnjxBJpPRt29fli9frpR/+fLl1KtXDwcHBwDkcjlz587l8uXLBAUFsX//fkaPHq2ZC39LMjIyuXrlHtVrOCnS5HI51Wo4cfH8rdfun5OTw6nj17h96zE+VezVGKnmyXVzl2o1nBVpuW6cuXj+zRqGUlPTyczMxshYX11hFgjCjWqEF2mEG2meuan+kpvqb+0mS7hRgXAjTXF0I7xII9xII55RBYNMpt6tKCAaSwQaZ8eOHfz888/8888/NG7cWJEeGBjId999R+/evbGzs6Np06b8+OOP/Pbbb0r7+/v7061bNxwcHJg8eTJJSUmcPHlS8V1YWJjic0ZGBmvWrKFv376K/YcPH07Dhg2xsbGhUaNG/PTTT6xfv14DV/72xMUmk5WVna97YWmzUjyJSZDcLykxhQbVR1Pb91tGDPmdbwM68EktZ8n8RZFXuYmJSXyjY8yftQXzMkZKLybFAeFGNcKLNMKNNHGxSRJujIiJlq6HX2TezH8wL2NM9Zou6gixwBBupBFuVCO8SCPcSCOeUYKCQqyGI9A4Xl5eREdHM3HiRKpXr46hoSEA58+fJzg4WKknSVZWFqmpqTx9+hR9fX3F/s8wMDDAyMiIx48fA1ChQgVatWrFsmXLqF69Olu3biUtLY3OnTsr9tm7dy9Tpkzh6tWrJCQkkJmZme8cL5OWlkZaWppSmq6uLhTSVlF9A11W/T2KlKdpnDoRzpxfNmNZ0Ywq1RwLOrRCQ9CSPezZcZaFy4ahq6td0OEUKoQb1Qgv0gg30qxYsps9O86waPnXws1LCDfSCDeqEV6kEW6kEc+od0NeSP/O0SSiZ4lA41haWnLw4EHu379P8+bNSUzMbRFOSkoiMDCQkJAQxXbx4kXCw8PR09NT7K+trVzJyWQysrOzFZ/79+/PunXrSElJYfny5XTt2lXRCHLr1i1at26Nl5cXGzZs4MyZMyxYsACA9PR0yZinTJmCsbGx0jZlypQP5kQKE1MDtLTkPHmp1fxJTCKlzYwk95PL5VhVKoOTS0W6925Io6beBC3Zq+5wNcqr3JipmOjrRf5YsY+gZXuZ+/tgHJ0t1RlmgSDcqEZ4kUa4kcbE1FDCTQJm5tL1MMCq5XsJWrqHeb8PEW5eQriRpji7EV6kEW6kEc8oQUEhGksEBYK1tTWHDh3i4cOHigYTX19fwsLCcHBwyLfJ5W9+q7Zs2RIDAwMWLlzIzp07lYbgnDlzhuzsbGbMmEGNGjVwcnLiwYMHrz1mQEAA8fHxSltAQMA7XfvboK1dAhe3ipw6Ea5Iy87O5tTxa3hWtnnj42RnZ5ORnvn6jEWIXDdWShN1ZWdnc/p4GJ6VbSX3W7lsL0t/28WchV/g5l5JE6FqHOFGNcKLNMKNNM/dPJ8wMTtvksBXu9nD0t92MnfRYNw8rDURqsYRbqQRblQjvEgj3EgjnlEFg5izRAzDERQgVlZWHDx4kIYNG+Ln58eYMWPo1KkTlSpVolOnTsjlcs6fP8+lS5f46aef3vi4Wlpa+Pv7ExAQgKOjIzVr1lR85+DgQEZGBvPmzaNNmzYEBwezaNGi1x5TV1c3d9jNS6RId0b5YHTr1YAfxq7B1d0KN89KrFt1iNSUdFq3+wSASd//QZmyxgwZ3gaAFUv24OpWiYpWZqRnZHL0cCg7/j3NmHGdX3WaIsnnvRoSOPYPXN2tcPe0Zt2qg6S84Gbi96soW9aYIcM/BSBo6R5+X7CdH6f1xsLSjOi8McD6+rro6+f//y3KCDeqEV6kEW6k+bxXIwLHrsLVvRLuHjas/eMAKSlptGlXA4CJASspU9aYod+0BXLd/DZ/Gz/9LNwIN8LNywgv0gg30ohnlKAgEI0lggKlYsWKigaTqVOn8vfff/Pzzz8zbdo0tLW1cXFxoX///m993H79+jF58mTFksTPqFy5MjNnzmTatGkEBARQr149pkyZQq9evT7UJX1wmjb3Je5JMr8v2EFMdAJOLpbMXjQIM/PcboePImORv9A8m/o0nZ//9xdRj+LR1dXG2rYsgVN60LS5b0Fdgtpo2tyX2CdJ/L5ge56bisxZ9KWiu+rLbjauDyYjI4vvRixTOk7/L5szcHBLjcauboQb1Qgv0gg30jRrUYW42CR+m7+NmOhEnFwsmbtoiMLNw8gnyF4Y3L3hz8NkZGQy5pulSscZ8GULBg5ppdHY1Y1wI41woxrhRRrhRhrxjNI8RaX3hzqR5eTk5BR0EALBh+bw4cM0btyYu3fvUq5cObWdJy59h9qOXZQx0WlBfPqugg6j0GGs4ye8SCDcSCPcSGOs40dCxp6CDqPQYaTdVHiRQLiRRriRRriRxki7qXhGqcBYx6+gQ3hv3Jf/p9bjX+5TT63H/xCIniWCYkXPnj15/PgxmZmZdO7cWa0NJQKBQCAQCAQCgUBQHJGJriWiZ4ng/fD39ycuLo7Nmzdr9Ly3bt3C1taWc+fO4e3trUivU6cOwcHB+Pr6smXLFiwti8es16tXr2bp0qVERUXh4uLC+PHjlZZQfpkdO3YwZ84c7t+/j42NDSNHjqR+/foajFhzCDfSCDeqEV6kEW6kEW6kEW6kEW5UI7xII9xII9xoFo8Vh9V6/Ev+ddV6/A+BaCwRvBeFrbFE8/Fce32W92T79sOMHj2TwMAhVK7sRFDQFnbuPMLOnYswMzPJl//s2VB69PiOESN607BhNbZuPcSSJRvYuHE2Tk6amiXdCeFGFZrxAsKNFEXPCwg3r0K4UY2oa6QRbqQR5Uka4UYa4UY1Tho4h3rxXKnexpKLvQp/Y4lYOligNi5dukSLFi0wNDSkXLly9OzZk+joaMX3f//9N56enpQsWRIzMzOaNGlCcnIykLsc2A8//EDFihXR1dXF29ubnTt3Kva1tc1dJszHxweZTEaDBg2Uzj19+nQsLCwwMzNjyJAhZGRkKL6LjY2lV69emJqaoq+vT4sWLQgPD6ewsnz5Zrp08aNjxyY4OFQiMHAwenq6bNigeuzsypVbqFvXl/79O2Bvb8Xw4T1wc7Pnjz/+1XDk6ke4kUa4UY3wIo1wI41wI41wI41woxrhRRrhRhrhRlAQiMYSgVqIi4ujUaNG+Pj4cPr0aXbu3MmjR4/o0qULAJGRkXTr1o2+ffsSGhrKwYMH6dChA886Os2ZM4cZM2Ywffp0Lly4gJ+fH59++qmiUePkyZMA7N27l8jISDZu3Kg494EDB4iIiODAgQMEBQWxYsUKVqxYofje39+f06dPs2XLFo4dO0ZOTg4tW7ZUalApLKSnZ3D58nVq1aqsSJPL5dSq5c25c2Eq9wkJuUrNmt5KaXXq+BASclWdoWoc4UYa4UY1wos0wo00wo00wo00wo1qhBdphBtphJuCQSZT71YUEBO8CtTC/Pnz8fHxYfLkyYq0ZcuWYWVlxbVr10hKSiIzM5MOHTpgbZ3bFc7T01ORd/r06YwZM4bPPvsMgGnTpnHgwAFmz57NggULKFOmDABmZmaUL19e6dympqbMnz8fLS0tXFxcaNWqFfv27WPAgAGEh4ezZcsWgoODqVWrFpA7/tHKyorNmzfTuXNntXp5W2JjE8jKysbMzFQp3czMhBs37qncJzo6DnNzk3z5o6Pj1BRlwSDcSCPcqEZ4kUa4kUa4kUa4kUa4UY3wIo1wI41wIygoRGOJQC2cP3+eAwcOYGhomO+7iIgImjVrRuPGjfH09MTPz49mzZrRqVMnTE1NSUhI4MGDB9SuXVtpv9q1a3P+/PnXntvd3R0tLS3FZwsLCy5evAhAaGgoJUqU4JNPPlF8b2ZmhrOzM6GhoZLHTEtLIy0tTSlNV1cXXd3XhiMQCAQCgUAgEAgERYqi0vtDnYhhOAK1kJSURJs2bQgJCVHawsPDqVevHlpaWuzZs4cdO3bg5ubGvHnzcHZ25ubNm+99bm1tbaXPMpmM7Ozs9zrmlClTMDY2VtqmTJnyXsd8E0xNjdDSkhMTE6uUHhMTh7m5qcp9zM3zt5rn5jdRU5QFg3AjjXCjGuFFGuFGGuFGGuFGGuFGNcKLNMKNNMJNwSCG4YjGEoGa8PX15fLly9jY2ODg4KC0GRgYALmNGLVr1yYwMJBz586ho6PDpk2bMDIyokKFCgQHBysdMzg4GDc3NwB0dHQAyMrKequ4XF1dyczM5MSJE4q0mJgYwsLCFMdWRUBAAPHx8UpbQEDAW537XdDR0cbd3YFjxy4o0rKzszl27Dw+Ps4q9/H2duH4ceUeOEePhuDt7aLWWDWNcCONcKMa4UUa4UYa4UYa4UYa4UY1wos0wo00wo2goBCNJYL3Jj4+Pl8PkoEDB/LkyRO6devGqVOniIiIYNeuXfTp04esrCxOnDjB5MmTOX36NHfu3GHjxo1ERUXh6uoKwKhRo5g2bRp//vknYWFhfPfdd4SEhPD1118DULZsWUqWLKmYODY+Pv6NYnV0dKRt27YMGDCAI0eOcP78eXr06IGlpSVt27aV3E9XVxcjIyOlTVdDY3D69GnH+vW72LRpHxERd5k06VdSUlLp0KEJAKNHz2TGjCBF/l69PuXw4bMsW7aJiIi7zJu3hkuXrtOjR2uNxKtJhBtphBvVCC/SCDfSCDfSCDfSCDeqEV6kEW6kEW40j1ym3q0oIOYsEbw3Bw8exMfHRymtX79+BAcHM2bMGJo1a0ZaWhrW1tY0b94cuVyOkZER//33H7NnzyYhIQFra2tmzJhBixYtAPjqq6+Ij4/n22+/5fHjx7i5ubFlyxYcHR0BKFGiBHPnzuWHH35gwoQJ1K1bl4MHD75RvMuXL+frr7+mdevWpKenU69ePbZv355v+E5hoWXLujx5Es/cuauJiorF1dWOJUsCFd0OIyOjkL9Q4/j6ujJ9+khmz/6DmTNXYmNTgQULxmpoTXnNItxII9yoRniRRriRRriRRriRRrhRjfAijXAjjXAjKAhkOc/WahUIBO/AtYIOoJDihHCjCuFFGuFGGuFGGuFGNcKLNMKNNMKNNMKNNMKNapwKOoD3psraw2o9/pluddV6/A/BOw3D6d27N//999+HjkUgEAgEAoFAIBAIBAKBoMB5p2E48fHxNGnSBGtra/r06UPv3r2xtLT80LEJijEymYxNmzbRrl07bt26ha2tLefOncPb21ut5/rwFP1WY/Uh3KhGeJFGuJFGuJFGuFGN8CKNcCONcCONcCONcFMcKSor1qiTd2os2bx5M1FRUaxatYqgoCAmTpxIkyZN6NevH23bti20cz8INIu/vz9xcXFs3rw533eRkZGYmqpe6utDo85zjT29Ty3HfZnruw9xbdseUuMTMK5UEZ/eXShtb6Myb3ZmFle37OL24eOkxMZRyqIcnp+1o3xld43ECvC/qo2Zen6PRs4VuvMQl7buIyUuAVNrS2r07UwZBxuVebMzs7iweTfXD53g6ZM4jCqUo2r3tlT0ll4J6UPyXeWm/H51l0bOBXBu23+c3ryf5NgEythY0mhgJyxeMVb3zJYDnN8RTGJ0LHqlDHCq5U3dXm0ooaP+On2gix/rb+xU+3kATmw9zJG/95MUm0B5O0tafdmRis6qvSwdPY9bF6/nS3eq5kbPHwapO1QAutg1Z+e9HRo51+HNh9m/fj8JTxKxtK9Ax2EdsXZR7WbeiHlcPx+RL93tEzcGTR6o7lABaF6xBcceb9PIufZuPMKOtQeIf5JIJfsK9BjeHjs36fKUnJjChsXbOXPoAsmJTzErV5rPv2pL5Zrqr29qlm3Focjtaj/PMw5sOsLudfuJf5JIRYcKdPuqA7au0m6eJqaweek2zv53gaeJTyldrjRdh7bDs4b63dS3aMnfNzVT1wAc33KYwy/UN60Hd8RKor5ZMmoeNyXqm94/qr++6WTbXNTDEnSxay7eayT4rnJTxpzSzPvwjT2HCN+2h7S892GvXl0wfcX78LWtu7hz+DipsXEYWpTDvWs7ymnofXhatcYaOY9AvbzzBK9lypRhxIgRjBgxgrNnz7J8+XJ69uyJoaEhPXr0YPDgwYrJOAWClylfvrzaz5Geno6Ojo5GzqVO7h47zYXVG/Dt243S9jaE79zP4anz8Js+CT3jUvnyX/prC3eCT1Klf3dKVSjPowtXODrrdxpOGompjVUBXIH6uHH0DCdXbqLWgK6UcbTh8rYD7P7fAjrMnkBJFW7OrNvKjcOnqDXoc0wsy3H/fCj7f1lMq59GYGZbvNxcPXyWQ8s20eTLrlg4WXNm6yE2TPqVvr+OQ98kv5vQQ6c5vHIrfsM+p4KLLbEPHrNzzmpkMmjQr0MBXIF6uHjoLDt+38Snw7pQ0dmGY5sPEjRuIV8vHouhCi/dxvclK+P5EuVPE5P5dfDPuNf11mDUmuHsgbNsWrSZLsO7YONizcGNh1g4ZhFjV3xPKdP8bvpO6ktW5nM3yQnJ/DzgF7zrVdZk2BrhxL5zrJv/D72/7YydWyV2//Uf07/9nalrvsNIhZvMjEymj1hEKRNDhv7oj0kZY2IePkG/VMkCiF69nNp/jr9+3Uz3EZ2xdbVm39+HmDPqN35YFSDpZtbIhZQyNeSLQH9MzE2IefQEfcPi5+bCobNsX7yJtsO6YOVsQ/Dmg6wYu5Bvlqiubz6f8FJ9k5DM/ME/41nM6htRD0sj3mukuXf8NJdWb6Byn26YOtgQsXM/R6fNo8kvk9BV4Sb07y3cDT6Jd7/c9+HHF65wYvbv1Js4EpNi9j6sLmRFZckaNfLeSwdHRkayZ88e9uzZg5aWFi1btuTixYu4ubkxa9asDxGjoBgik8ny9Ti5evUqtWrVQk9PDw8PDw4dOqT0/aVLl2jRogWGhoaUK1eOnj17Eh0drfi+QYMGDB06lOHDh2Nubo6fn5/Kc40ZMwYnJyf09fWxs7Nj/PjxZGRkqO1a35drO/Zj27A2NvVrYlTRAt++3dDS1eHWoaMq8985chKXT5tj4e2BYVlz7JvUw8LbnfDtezUcufq5/O9+nBrXwrFhTUwqWlBrwGeU0NEh/MAxlfkjDp/Eq30zrHzdKVXOHJdmdano48alrfs1HLn6OfPPATyb1cKjSQ3MKlnQ9MsuaOvqcHHvcZX5H1y9iaWrHa71q2JczgwbH1dc6lUhMvyOhiNXL0c3HaRqi1r4NqtBWevytBmW6+XsbtVe9EsZUKq0kWKLOBuGtq42HsXwJf3g3wep1bImNZp/Qnmb8nQZ3hkdXR2O7zyhMr+BkQFGpY0UW9iZMLT1tPGu763ZwDXArj8PUb9NDeq2qo6lbXl6j+yEjp42/207qTL/f9tOkpTwlK+m9MXRy5YyFqVx8XGgkkPxG7K856+D1GlVk9otPqGCTXm6j+iMjp4OwdtV3zfB20+QnPiUwT/1w8HTDnOL0jh7O2BVDN0EbzxI1ea1qJJX37TNq2/O7Hqz+ub6udwy5VHPW7OBqxlRD0sj3mukidixH+uGtbGuXxMjSwu8++S+D9+WeB++e+QkTp82p7y3BwZlzbFtUo9y3u5cL4bvwwL18U6NJRkZGWzYsIHWrVtjbW3NX3/9xfDhw3nw4AFBQUHs3buX9evX88MPP3zoeAXFmFGjRvHtt99y7tw5atasSZs2bYiJiQEgLi6ORo0a4ePjw+nTp9m5cyePHj2iS5cuSscICgpCR0eH4OBgFi1apPI8pUqVYsWKFVy5coU5c+awePHiQtuwl52ZSdzNO5T1cFakyeRyynm4EBN+U3IfLR3lTmNaOtpEh+XvLl+UycrMJObGXSp4Krux8HTm8TUJNxmZaL00pERLR4fHxc1NRiaPIu5SqbKym0qVnYkMU+2mgostjyLuEnntNgBxD6O5eeYKdlU015VX3WRmZPIg/C523s/HVsvlcuy9nbgbeuuNjnFm93E86/uio6erpigLhsyMTO5eu4eTr7IbJ18nbl259UbHOL7jBL4NfdEtWfzc3Lp2D7cqym7cqzoRcfmWyn1Cgi/h4G7Nqpkb+OrTCYzt9TNbV+4lOytbQ1FrhsyMTO6E3cP1JTeuVRy5ceW2yn3OH72MvZsNa2f/zbftxzPJfxrb/9hTLN08CL+Lg4+yGwcfJ+68aX2zq/jVN6Ielka810jz7H24jLuymzLuLjy5rtpNVmYmcu2X3oe1tYm5VrzcqBOZTL1bUeCdhuFYWFiQnZ1Nt27dOHnypMpJORs2bIiJicl7hif4mBg6dCgdO3YEYOHChezcuZOlS5cyevRo5s+fj4+PD5MnT1bkX7ZsGVZWVly7dg0np9yHrqOjIz///PMrzzNu3DjFv21sbBg5ciTr1q1j9OjRariq9yMtMYmc7Gz0jI2U0nWNSpHw4JHKfcp5uhK+fT/mLo4YljXn8eUw7p8KISe7eK0SnpaQ66bkS112S5oYES/hxrKyK5f/3U85VweMypnz4FIYt08WPzcpCcnkZGdj8JIbfZNSPLmn2o1r/aqkJCSzLmA25OSQnZVN5ea1+aRzMw1ErBmeJiSTnZ2N4UtDAwxNSxF97/Fr978XdpvHtyJpP7ybukIsMJLjc928PNymlGkpHt9Vfc+8yO2rt4m8GUm3kZ+pK8QCIzE+meysbIxLK7sxMi1F5G3V983jB0+Ifnidmk19GfHLAB7di2blzA1kZWXRro+fJsLWCEl5941R6fz3TeQd1W6iHsRw9WE4nzStwldTB/L4fjRrZv9NVmYWbfybayJsjaCob16qhw1NShF19/X1zd2w2zy6FUn7b4pXfSPqYWnEe400ku/DxqVIipR+H47Ykfs+bFDWnKjLYUSeLn5uBOrlnRpLZs2aRefOndHT05PMY2Jiws2bqlv6BAJV1KxZU/HvEiVKULVqVUJDQwE4f/48Bw4cwNDQMN9+ERERisaSKlWqvPY8f/75J3PnziUiIoKkpCQyMzMxMjJ65T5paWmkpaUppenqFs5fNLx7debMktXsGhmITCbDoJw5NvVqcvOQ6i6cHxOf9OlE8KK1bBr+I8hklCpnjmODGoQfUN3192Pi7sVwTvy9m8aDOmPhZENcZBQHlmzk2J87qdm1+PwB8z6c2XWccjYWkpMQfswc334cC1sLyclgPzZysnMwMjGkz6guyLXk2DhbERsVz461B4pVY8m7kJOTQylTQ3p+m+vG2tmKuOh4dq3bX6waS96XMztz6xupyWA/VkQ9rIx4r5HGs2dnzi1dzd5Ree/DZc2pVK8mt8X78BtTVHp/qJO3bizJyMigT58++Pj44OHhoY6YBIJ8JCUl0aZNG6ZNm5bvOwsLC8W/DQwMXnmcY8eO0b17dwIDA/Hz88PY2Jh169YxY8aMV+43ZcoUAgMDldImTpwIreu+xVW8PbqlDJHJ5aTGJyilpyUk5mtdV+xjVIpaI74gKz2D9KRk9EyNubhuM4ZlzdUaq6bRNcp1kxKXqJSeEpdASRPVbvSMStF49EAy0zNIS0pG39SY06v/oVQ5M02ErDFKGhkgk8tJfsnN07hEDFRMuAgQvGYbbg2q4dWsFgBlbCqQkZbOngXrqNG5GTL5e09xVeDoGxkgl8tJilX2khSbmO9XzpdJT03j4qGzNO7ZQp0hFhgGxrluEl9ykxibSKnSr2lMTknj7MFztOhdPN2UMjZAriUn/omym4TYRIzNVN83Jmal0CqhhVzrebmpYFOO+CeJZGZkUkL7nefXL1QY5t03CU/y3zfGEveNsZkRWlpyJTflrcuRUMzcKOqbl+rhpLg3q28uHDpLk17Fr0yJelga8V4jjeT7cHwiuq94H67xjfL78JU/N2NQzN6HBerlrd9+tbW1qVSpEllZWa/PLBC8BcePP28Fz8zM5MyZM7i6ugLg6+vL5cuXsbGxwcHBQWl7XQPJixw9ehRra2vGjh1L1apVcXR05PZt1eOqXyQgIID4+HilLSAg4O0v8i2RlyiBiW0lHl8OU6TlZGfz+FIYZo62r9xXS0ebkqVNyMnK5v6pECyqeKk7XI2iVaIEZnZWRF5SdhN56RplnV7tpoSONgZ5bm6fCKFS1WLmRrsE5eytuHPhmiItJzubOxfCsHBW7SYjLT3frOfPGkhyikmP1RLaJajgaMWNkOdesrOzuRFyDStXm1fue+lwCFkZmVRuVE3NURYMJbRLYOVUkWvnwhVp2dnZXDt3DRs3m1fuG3IohMz0TKo1qarmKAuGEtolsHGqyJUzym6unAnH3t1G5T6OnrY8uh9NdvbzeTge3o3CxMyo2DQGQK6bSs4VuXpWuUyFngmXXFbZwcOWqJfcPL77GONi6KaCoxURL9U3ESHXqPS6+ua/3PrGuxjWN6Ielka810jz7H046qX34ajLYZR2ePP34QcnQ7DwLV5u1ImYs+Qdh+GMHTuW77//nlWrVlG6dOkPHZOgGBEfH09ISIhSmpmZ6tbuBQsW4OjoiKurK7NmzSI2Npa+ffsCMGTIEBYvXky3bt0YPXo0pUuX5vr166xbt44lS5agpaX1RvE4Ojpy584d1q1bR7Vq1di2bRubNm167X66uroFNuzGqUUjTv22ElNba0rbWxO+8wCZaWnY1M8dtnRy4QpKmprg+Vk7AGKu3yQ1Ng5jaytSnsRxZeM2yM7GuXXTAolfnbi3bsSRBasws6tEGQcbLm/PdePYoAYA/81fiX5pY6p+3haAqPBbJD+Jw8ymIslP4gj5azs5OTl4tG1SkJehFqq0bcjOOX9Q3sGK8o7WnN16kIzUdDyafALAjlmrMDQzpm6vTwGwr+bBmX8OUNa2IhbONsRGRnF09Tbsqnko/QJc1KnVvgEbZ6zG0rESls6VOLb5EOlp6fg2zfXy9/Q/MDIzplmfNkr7nd11HJeanugbvXnjbFGjQacGrJ62hkpOVlRyqcShDYdIT03nE79cN39M/QNjc2Pa9Fd2c3zHCTxre2JgXHzd+HWtz+LJa7F1scLOtRK7/zpEWko6dVtWB+D3n9Zgam5E5y9aA9CwXS32bjzC6jmbadqxDg/vRfPvqr006aTe3ogFQdPODVg+ZQ3WzlbYulqz9+/c+6Z2i9z7Ztnk1ZiYG9NhYK6b+m1rcWDTYf6ct4lGHery6F4U21fvpVGHegV5GWqhdocGbJieW99UdK7E0U25bqo0y3Xz1y+59Y1fX+UydXrXcVxrFd/6RtTD0oj3GmnsWzTibN77sKm9NRE7D5CVlkalvPfhM4tWoGdqgnvXdgA8eel9+OrGbeTkZONQDN+HBerjnRpL5s+fz/Xr16lQoQLW1tb5ftk/e/bsBwlOUPQ5ePAgPj4+Smn9+vVTmXfq1KlMnTqVkJAQHBwc2LJlC+bmuV3lKlSoQHBwMGPGjKFZs2akpaVhbW1N8+bNkb/F8IBPP/2Ub775hqFDh5KWlkarVq0YP348kyZNeudrVDdWNauSlpjElb//JTU+AWPritQZM1QxDOdpTCwy2XMH2RkZXFq/leSoaEro6lLe253qX/ZGx0C/oC5BbdjVqkJqQhLn1m8jJS6R0jaWNPt+iKK7anL0E2QvNF1nZWRwdt2/JD2OpoSeLhV93Kk3tBe6xdCNS11fUhKSCF6znaexCZSxrUjHiV9ikOcmITpWqSdJjS5+IJMRvHobSU/iKWlkiF01d+r0aF1Ql6AWPOv7khyfxL4/tpP0JAEL+4r0+vELDE1zvcQ/jkX+0s8dUfcecfvyDXr/78uCCFlj+Db0JSk+me0rdpAQm0BFe0u+mDpIMXln7ONYpfIE8OjuI25cusGX04q3m08a+5AYl8SmpTuJf5JAJQdLvp0+UDHpa8wjZTdm5UwZOWMQa+ZtZlyf6ZiaG9O0Uz1adW9UUJegNqo1ynWzZflOEp4kUNHBkq9+fn7fPHnJTemypnz9yxesn7+ZwL6/YFLGmMYd69G8W+OCugS14fWsvlm1ncTYBCzsKuL/k3J983KZirqbW9/0mVx8y5Soh6UR7zXSVKxRlfSEJEI3/Eta3vtwzdEvvA9Hx8JL78Ohfz1/Hy7n7U6VYvo+rC7kRaT3hzqR5eS8fQfrSZMm5avcX2TixInvFZRAUFQYe3pfQYdQKPlf1cZMPb+noMModHxXuSm/X91V0GEUSga6+LH+xs6CDqNQ0sWuOTvv7SjoMAolzSu24NjjbQUdRqGjZtlWHIrcXtBhFErqW7Tk75uirlFFJ9vmoh6WoItdc/FeI8F3lZsy5pR4H36ZadWKfgNw7U1H1Hr84PZ11Hr8D8E79SwpzL/CC4oXMpmMTZs20a5dO27duoWtrS3nzp1TuVy1QCAQCAQCgUAgEAgEH4J36lliZ2fHqVOn8s09ERcXh6+vLzdu3PhgAQqKP/7+/sTFxbF58+Z83z18+BBTU1N0dXU/6saS1atXs3TpUqKionBxcWH8+PF4eUlPULVjxw7mzJnD/fv3sbGxYeTIkdSvX1+DEWsO4UYa4UY1wos0wo00wo00wo00wo1qhBdphBtphBvNUucf9fYsOdK28PcseafGErlczsOHDylbtqxS+qNHj7CysiI9Pf2DBSgo/ryqseRFCmdjybXXZ3lPtm8/zOjRMwkMHELlyk4EBW1h584j7Ny5CDMzk3z5z54NpUeP7xgxojcNG1Zj69ZDLFmygY0bZ+PkpHp1gg+PE8KNKjTjBYQbKYqeFxBuXoVwoxpR10gj3EgjypM0wo00wo1qnDRwDvUiGkvecungLVu2sGXLFgB27dql+LxlyxY2bdrEjz/+iK3tq5dvEgjeBplMlq8R5erVq9SqVQs9PT08PDw4dOgQADk5OTg4ODB9+nSl/CEhIchkMq5fvw7AzJkz8fT0xMDAACsrKwYPHkxSUpJGruddWL58M126+NGxYxMcHCoRGDgYPT1dNmxQPXZ25cot1K3rS//+HbC3t2L48B64udnzxx//ajhy9SPcSCPcqEZ4kUa4kUa4kUa4kUa4UY3wIo1wI41wo3nE0sFv2VjSrl072rVrh0wmo3fv3orP7dq147PPPmPPnj3MmDFDXbEKBACMGjWKb7/9lnPnzlGzZk3atGlDTEwMMpmMvn37snz5cqX8y5cvp169ejg4OAC5PaPmzp3L5cuXCQoKYv/+/YwePbogLuW1pKdncPnydWrVqqxIk8vl1KrlzblzYSr3CQm5Ss2a3kppder4EBJyVZ2hahzhRhrhRjXCizTCjTTCjTTCjTTCjWqEF2mEG2mEG0FB8VaNJdnZ2WRnZ1OpUiUeP36s+JydnU1aWhphYWG0bl28lpkUFD6GDh1Kx44dcXV1ZeHChRgbG7N06VIgd0hPWFgYJ0+eBCAjI4M1a9bQt29fxf7Dhw+nYcOG2NjY0KhRI3766SfWr19fINfyOmJjE8jKysbMzFQp3czMhOjoWJX7REfHYW5uoiJ/nJqiLBiEG2mEG9UIL9IIN9IIN9IIN9IIN6oRXqQRbqQRbgoGmUym1q0o8E6r4dy8efNDxyEQvDE1a9ZU/LtEiRJUrVqV0NBQACpUqECrVq1YtmwZ1atXZ+vWraSlpdG5c2fFPnv37mXKlClcvXqVhIQEMjMzSU1N5enTp+jrq157PS0tjbS0NKU0XV1ddHXVcIECgUAgEAgEAoFAIChQ3qmxBGDfvn3s27dP0cPkRZYtW/begQkE70r//v3p2bMns2bNYvny5XTt2lXRCHLr1i1at27Nl19+yf/+9z9Kly7NkSNH6NevH+np6ZKNJVOmTCEwMFApbeLEiUya9Llar8XU1AgtLTkxMcqt5jExcZibm6rcx9w8f6t5bn4TNUVZMAg30gg3qhFepBFupBFupBFupBFuVCO8SCPcSCPcFAxFpPOHWnmrYTjPCAwMpFmzZuzbt4/o6GhiY2OVNoFAnRw/flzx78zMTM6cOYOrq6sirWXLlhgYGLBw4UJ27typNATnzJkzZGdnM2PGDGrUqIGTkxMPHjx47TkDAgKIj49X2gICAj7shalAR0cbd3cHjh27oEjLzs7m2LHz+Pg4q9zH29uF48fPK6UdPRqCt7eLWmPVNMKNNMKNaoQXaYQbaYQbaYQbaYQb1Qgv0gg30gg3goLinRpLFi1axIoVKzhx4gSbN29m06ZNSptA8LbEx8cTEhKitN29e1dl3gULFrBp0yauXr3KkCFDiI2NVWoQ0dLSwt/fn4CAABwdHZWG7Tg4OJCRkcG8efO4ceMGq1atYtGiRa+NT1dXFyMjI6VNV0NjcPr0acf69bvYtGkfERF3mTTpV1JSUunQoQkAo0fPZMaMIEX+Xr0+5fDhsyxbtomIiLvMm7eGS5eu06NH8ZtPSLiRRrhRjfAijXAjjXAjjXAjjXCjGuFFGuFGGuFG84jVcN5xGE56ejq1atX60LEIPmIOHjyIj4+PUlq/fv1U5p06dSpTp04lJCQEBwcHtmzZgrm5eb59J0+eTJ8+fZTSK1euzMyZM5k2bRoBAQHUq1ePKVOm0KtXrw97QR+Qli3r8uRJPHPnriYqKhZXVzuWLAlUdDuMjIxCLn9e4/j6ujJ9+khmz/6DmTNXYmNTgQULxmpoTXnNItxII9yoRniRRriRRriRRriRRrhRjfAijXAjjXAjKAhkOTk5OW+705gxYzA0NGT8+PHqiEkgeG8OHz5M48aNuXv3LuXKlVPjma6p8dhFGSeEG1UIL9IIN9IIN9IIN6oRXqQRbqQRbqQRbqQRblTjVNABvDcNtwer9fgHWtZW6/E/BO/UsyQ1NZXff/+dvXv34uXlhba2ttL3M2fO/CDBCQoPt27dwtbWlnPnzuHt7V3Q4UiSlpZGVFQUkyZNonPnzmpuKBEIBAKBQCAQCAQCQXHknRpLLly4oPiD+dKlS0rfFZU1k4sb/v7+BAUFMWjQoHxzcAwZMoRff/2V3r17s2LFioIJUEOsXbuWfv364e3tzcqVKzVwRs20Gq9evZqlS5cSFRWFi4sL48ePx8vLS2Xe8PBw5s6dy+XLl7l//z4BAQH4+/trJE5lhBvVaO6XBuFGNUXPCwg3r6LwuVm/fj2bN28mPDwcAHd3d0aMGCGZXz0UzrpGuCnsZUqUJ2kKn5vCcc9AYXRTeO6bootc/Fn/bo0lBw4c+NBxCD4AVlZWrFu3jlmzZlGyZEkgtxfQmjVrqFSpUgFHpxn8/f3f6yGRnp6Ojo7OG+fPyrn0+kzvyY7twUyZMpeJkwbhVdmRVUH/0q+fP9t2zMPMzDhf/uSU61hW1KOZXxemTl1ODg81EueLaMk8yMq58PqM70mum/lMnDQQr8oOrAraludmzivc6NLMrzNTp64gh0iNxPkMLZkX6dmnNXKunduPMWXKIsZP6ouXlz2rVu6kb7/ebN0+XaWbxKcRVKioTZNm7fl56h9k5dzVWKwAOvKqGjlfUfMCuW4yss+p/Tw7th9lypRfmTCpP15eDqxauZ1+/fzZun3mK9zo0KRZR36eupLsnPsaifNFtOU+PM08rPbz7NpxkilTljF2Yg88PO1Ys2ovffv1ZvO/P1HazChf/qPH/6VZCxdGBbRCR1ebFUt30KdvLzb88wNly6le5vJDol+iLk8z1dt9+hm5bpYwdmLPPDd78txMlnCzjWYtXBkV0CbPzfY8Nz9pyE1tUQ9LoCOvSkLGHrWfZ/eOM0yZsorvJnTFw8uGtasO0LdfL/7eOoHSZqXy5T9y/B8at7Dnm4Cm6OqUIGjZHvr07cWfm8dStpyJ2uMFMNJuSmrW8ddnfE927jjBlCm/M25ibzy97Fm9ahd9+/Xmn23TMFNRnuKTb2BhqUWjZp8yfeoaMnNuayTOF9HTqkFy5n9qP8+uHaeYMmUZ30/sgaenLavz6uFN//4oUddspWkLZ0YGtMyra3bSp28v/v4nUCN1jUGJemo/h0D9vNNqOILCia+vL1ZWVmzcuFGRtnHjRipVqqQ0eerOnTupU6cOJiYmmJmZ0bp1ayIiIpSOdfLkSXx8fNDT06Nq1aqcO6f8ApyVlUW/fv2wtbWlZMmSODs7M2fOHKU8mZmZfPXVV4rzjBkzht69e9OuXbs3jiU9PZ2hQ4diYWGBnp4e1tbWTJkyRfF9XFwcgwYNoly5cujp6eHh4cG///4LQExMDN26dcPS0hJ9fX08PT1Zu3atUowNGjRg6NChDB8+HHNzc/z8/N7SuvpZsWIrnTs3oUPHRjg4WDExcBB6erps3LBPZX5PTwdGje5Ny1Z10HlpiFxxY8WKf+ncuTEdOjbMczMQPT0dNm7YrzJ/rptetGxVu9i7WRm0g46dG9K+Q33sHSoyYVJfSurpsmnjIZX5PTzt+XbU57RoVRMdnXdqRy8SCC/SrAzaRqfOjWjfoUGem/7o6emwaeNBlfk9Pe0ZOaoHLVvVKvZu/gjaQ4dOdWnbvg72DhUYO7EHeno6bN54RGX+yT8PoEu3hji7VsLWzoIJP/iTk53DieOhGo5c/fwRtIsOnerRtn1d7B0sGTuxV54b1Y1Yk38eSJdujV5w0yfPzRUNR65+RH2jmjUr99OuUy0+bV8TO3sLAiZ8hp6eDls2HVOZ/6dp/nT+rB7OLhWxsSvPuMDu5GTncOp4mIYjVz+rVuykQ+f6tOtQD3sHS8ZN9M8rT6obIzw87Rgx6jNatKyBjk7xfq9ZHbSH9p3q0rZ9bexeqIf/2ai6Yfh/+erh3uRk53CyGNbD6kIuU+9WFHinxpKGDRvSqFEjyU1QcPTt25fly5crPi9btizfijDJycmMGDGC06dPs2/fPuRyOe3btyc7OxuApKQkWrdujZubG2fOnGHSpEmMHDlS6RjZ2dlUrFiRv/76iytXrjBhwgS+//571q9fr8gzbdo0Vq9ezfLlywkODiYhIYHNmze/VSxz585ly5YtrF+/nrCwMFavXo2NjY0ihhYtWhAcHMwff/zBlStXmDp1KlpaWkBur5oqVaqwbds2Ll26xMCBA+nZsycnT55UiiEoKAgdHR2Cg4PfaBlhTZKensGVyxHUqPW8y6BcLqdmTS9CQj7uybRy3dwQblSQkZ7Jlcs3qVHTQ5Eml8upUdOD8yHhBRhZwSK8SPPcjaciLdeNJ+dFeSL0ym0+qemmSJPL5XxSw5UL52+80TFSU9PJzMzC2NhAXWEWCNJu3LhwPuIVez4nNTWt2LoR9U1+MjIyuXrlLtVrOCvS5HI51Ws4c/H8zTc6xrPyZGSsr64wC4Tc8nSLGjXcFWm594w7F0KuF2BkBc/zusZVkfa8Hn7TuubZfVO86hqBenmnZuuXJ/jMyMggJCSES5cu0bt37w8Rl+Ad6dGjBwEBAdy+fRuA4OBg1q1bx8GDBxV5OnbsqLTPsmXLKFOmDFeuXMHDw4M1a9aQnZ3N0qVL0dPTw93dnXv37vHll18q9tHW1iYwMFDx2dbWlmPHjrF+/Xq6dOkCwLx58wgICKB9+/YAzJ8/n+3btyud+3Wx3LlzB0dHR+rUqYNMJsPa+vlyX3v37uXkyZOEhobi5JQ7VtLOzk7xvaWlpVIjz7Bhw9i1axfr16+nevXqinRHR0d+/vnnN7CreeJiE8nKysbczEQp3czcmBs37xdMUIWE526UuzILNxAbl+vm5W7eZmZG3Lz5oICiKniEF2li4xIk3Bhz86MvT0lkZWXn6+ZtZmbErZsP3+gYc2b8TZmyJkqNCsWBZ2VKtZvINzrGczfur89chBD1jWriYp+VJ+XhNqXNjLh189EbHWPezH8wL2NM9Zou6gixwFDcM+Yq6uEbb1aeiitxEvVw6beoh+fO2FAs62F1Ipe99aK5xY53aiyZNWuWyvRJkyaRlJT0XgEJ3o8yZcrQqlUrVqxYQU5ODq1atcLc3FwpT3h4OBMmTODEiRNER0crenHcuXMHDw8PQkND8fLyQk9PT7FPzZo1851rwYIFLFu2jDt37pCSkkJ6erqiIS0+Pp5Hjx4pNUpoaWlRpUoVxfneJBZ/f3+aNm2Ks7MzzZs3p3Xr1jRr1gyAkJAQKlasqGgoeZmsrCwmT57M+vXruX//Punp6aSlpaGvr/xLRJUqVV7rNS0tjbS0NKU0XV1dSrz59CYCgUAg+AhZtng7u3acZPGKUejqFu9u8m/LssXb8tyMFm4Eb8SKJbvZs+MMi5Z/Le4ZwRuzfPEOdu04ye+iHn4rispQGXXyQecs6dGjB8uWLfuQhxS8A3379mXFihUEBQXRt2/ffN+3adOGJ0+esHjxYk6cOMGJEyeA3PlB3pR169YxcuRI+vXrx+7duwkJCaFPnz5vdYw3icXX15ebN2/y448/kpKSQpcuXejUqROAYhJbKX755RfmzJnDmDFjOHDgACEhIfj5+eWL0cDg9d3xpkyZgrGxsdL24twp6sLEtBRaWnKiY+KU0mOi4zE3N1H7+Qszz93EK6ULN2Bqkusm5mU3MQn5frH6mBBepDE1MZJwI8qTqYkhWlpynsQkKKW/yX2zcvkuli/dwa+LR+DkbKXOMAuEZ2Xq3dzsZPnS7cXejahvlDExfVaeEpXSn8QkYGaef5LOF1m1fC9BS/cw7/chODpbqjPMAkFxz0Srqoc/3nsGwESiHn6T++Z5PfwNTs4V1RmmoBjyQRtLjh07ptQbQVAwNG/enPT0dDIyMvJNWBoTE0NYWBjjxo2jcePGuLq6Ehsbq5TH1dWVCxcukJqaqkg7flx5Zu3g4GBq1arF4MGD8fHxwcHBQWliVmNjY8qVK8epU6cUaVlZWZw9e/atYgEwMjKia9euLF68mD///JMNGzbw5MkTvLy8uHfvHteuqR5PHxwcTNu2benRoweVK1fGzs5OMu/rCAgIID4+XmkLCAh4p2O9DTo62ri523P82EVFWnZ2NsePX8DbW3NLHxZGct3YqXBz8aN3o61TAjd3W04cv6xIy3VzicrejgUYWcEivEjz3M3zlbOys7M5cfwSlUV5wtXNWmly1uzsbE6euIpXZTvJ/VYs3cHiRf+y4LfhuHvYaCBSzSPtJhSvyvaS++W62cqC30bg7mGriVA1jqhvVKOtXQIXNytOnXg+OWt2djanTlzDs7L0vbBy2R6W/raTuYsG4+ZhLZmvKJNbnmyUJjvOrYev4OXtUICRFTzP6pqTb13X7GTJom3M/+1r3IppPaxO5GreigLvNAynQ4cOSp9zcnKIjIzk9OnTjB8//oMEJnh3tLS0CA0NVfz7RUxNTTEzM+P333/HwsKCO3fu8N133ynl+fzzzxk7diwDBgwgICCAW7duMX36dKU8jo6OrFy5kl27dmFra8uqVas4deoUtrbPH3TDhg1jypQpODg44OLiwrx584iNjUUmk71xLDNnzsTCwgIfHx/kcjl//fUX5cuXx8TEhPr161OvXj06duzIzJkzcXBw4OrVq8hkMpo3b46joyN///03R48exdTUlJkzZ/Lo0SPc3N5+rKKuri66urr50rM0MJTP378NAd/Nw8PDHk8vR1YG/UtKShrtO+ROpvzdmLmULVuaEd/2AHInPo2IuAfkTqT26FEMoaE30dfXw9raQv0BaxB//9YEfLcgz40DK4O25blpCMB3Y+bluekOfFxuevVuwdiA33D3sMXTM3fJypSUNNq1rw/A92MWUracKcNHfAbkTp72opvHj2O5GnoLfX09KlmXL7Dr+NAIL9L06t2KsQELcfeww8PTgT9WbldyEzBmAWXLleabEd2Al91k8ejxk2Lrpkfvpkz4fhlu7tZ4eNqyZtVeUlLSaNu+NgDjApZStqwJX32TOw/X8iU7WDj/Hyb/PIAKFcyJjsr9pVhfXxd9g+L1o1KP3n5M+H4Jbu42eW725LmpA8C4gMWULWvKV9/k9gpdvmQ7C+dvZvLPA4u9G1HfqObzXo0IHLsKV/dKuHvYsPaPA6SkpNGmXQ0AJgaspExZY4Z+0xaAoKV7+G3+Nn76uTcWlmZER+f2LtDX10VfP/+7WVGmp39zxgcsxt3DFg9PO/5YuSvvnqkLwNjvfqNsWVO+HpE7P2DuPZM7r1RGRiaPH8VyNfR23j1TrsCuQx10792Uid8vw83dBndFPZzOp3n18PiApZQta8qwb3L/Tl2xZAcL529h8s/9i31dI1Af79RYYmys3BVMLpfj7OzMDz/8oJhPQlCwGBmp7pIml8tZt24dX331FR4eHjg7OzN37lwaNGigyGNoaMjWrVv54osv8PHxwc3NjWnTpilNxjpo0CDOnTtH165dkclkdOvWjcGDB7Njxw5FnjFjxvDw4UN69eqFlpYWAwcOxM/PT9GA8yaxlCpVip9//pnw8HC0tLSoVq0a27dvRy7PbY/csGEDI0eOpFu3biQnJ+Pg4MDUqVMBGDduHDdu3MDPzw99fX0GDhxIu3btiI9X7t5Y2GnRsjZPnsQzb946oqPicHG15bfF4xRd4yMfRCOXPR9UGPU4lo7tn09su3zZFpYv20K1au4ErfpB0+GrlVw3Ccyb92eeGxt+Wzz2NW5GKz4vX7aV5cu2Uq2aG0GrAl8+fJGmecuaPIlNZMHcv4mOjsfF1ZpFv49RdOWNjIxB9sJg1MdRsXTuMFbxecWybaxYto2q1VxZvnKcxuNXF8KLNC1a1iI2NoH5c/8iOjouz813z8tTZDRyJTdP6NTheQP3imX/smLZv1St5sqKlRM1Hb5a8WtRndgnSSyc/w8x0Qk4u1ix4LfhiuEUDyNjlOqav/48SEZGJqO+Wah0nEGD2/DFkLYajV3d5LpJZOH8zcREx+e5+eYFN0+Qy57/hvjXnwfy3PyqdJxBgz/liyHtNBm62hH1jWqatahCXGwSv83fRkx0Ik4ulsxdNEQxnOJh5BMlLxv+PExGRiZjvlmqdJwBX7Zg4JBWGo1d3TRv8QmxTxL4dd5GoqPjcXapxK+/jVQuT/Ln5elxVCxdO05QfA5avoOg5TuoWs2FpUHq7wGtSfxaVMura57Xw/N/+1rpvlGuhw/l1TXKK10OHNyGL4Z8qtHYiypigleQ5eTkCAsCjZCdnY2rqytdunThxx9/LOhwPghZOZden+kjREvmQVbOhYIOo9ChJfMiPft0QYdRKNGRVxVuJNCRVyUj+1xBh1Eo0Zb78DTzcEGHUejQL1GXp5nBBR1GoUS/RG1R10igI69KQsaegg6jUGKk3ZTUrOOvz/gRoqdVg+TM/wo6jEKHQYl6BR3Ce9Nmj3qfr1ub1lXr8T8E79Sz5BlnzpxRDPdwd3fHx8fngwQlKB7cvn2b3bt3U79+fdLS0pg/fz43b97k888/L+jQBAKBQCAQCAQCgUAggVgN5x17ljx+/JjPPvuMgwcPYmJiAkBcXBwNGzZk3bp1lClT5kPHKSgk+Pv7ExQUxKBBg1i0SLlb25AhQ/j111/p3bs3K1as4O7du3z22WdcunSJnJwcPDw8mDp1KvXqFf2WVk2zevVqli5dSlRUFC4uLowfPx4vLy/J/Dt27GDOnDncv38fGxsbRo4cSf369TUYseYQbqQRblQjvEgj3Egj3Egj3Egj3KhGeJFGuJFGuNEsbfeqt2fJP00Kf8+Sd2os6dq1Kzdu3GDlypW4uroCcOXKFXr37o2DgwNr16794IEKCgf+/v7s37+fhIQEIiMjFcv3pqamYmFhgZGREQ0bNmTFihVvfeycnByysrIoUeK9OjxpmHdbXedt2L79MKNHzyQwcAiVKzsRFLSFnTuPsHPnIszMTPLlP3s2lB49vmPEiN40bFiNrVsPsWTJBjZunI2Tk6ZmkHdCuFGFZryAcCNF0fMCws2rEG5UI+oaaYQbaUR5kka4kUa4UU3RX0muvZobSzYVgcaSd1q1Z+fOnfz666+KhhIANzc3FixYoDTBp6B44uvri5WVFRs3blSkbdy4kUqVKikNxUpLS+Orr76ibNmy6OnpUadOHaWlhA8ePIhMJmPHjh1UqVIFXV1djhw58tr9AC5fvkzr1q0xMjKiVKlS1K1bV2np4mXLluHu7o6uri4WFhYMHTpU8d2dO3do27YthoaGGBkZ0aVLFx49eqQOVR+E5cs306WLHx07NsHBoRKBgYPR09NlwwbV44pXrtxC3bq+9O/fAXt7K4YP74Gbmz1//PGvhiNXP8KNNMKNaoQXaYQbaYQbaYQbaYQb1Qgv0gg30gg3goLgnRpLsrOz0dbWzpeura1Ndnb2ewclKPz07duX5cuXKz4vW7aMPn36KOUZPXo0GzZsICgoiLNnz+Lg4ICfnx9PnjxRyvfdd98xdepUQkND8fLyeu1+9+/fp169eujq6rJ//37OnDlD3759yczMBGDhwoUMGTKEgQMHcvHiRbZs2YKDQ+769NnZ2bRt25YnT55w6NAh9uzZw40bN+jatas6db0z6ekZXL58nVq1KivS5HI5tWp5c+5cmMp9QkKuUrOmt1JanTo+hIRcVWeoGke4kUa4UY3wIo1wI41wI41wI41woxrhRRrhRhrhpmCQy9S7FQXeqbGkUaNGfP311zx48ECRdv/+fb755hsaN278wYITFF569OjBkSNHuH37Nrdv3yY4OJgePXoovk9OTmbhwoX88ssvtGjRAjc3NxYvXkzJkiVZulR56bcffviBpk2bYm9vj66u7mv3W7BgAcbGxqxbt46qVavi5OREnz59cHZ2BuCnn37i22+/5euvv8bJyYlq1aoxfPhwAPbt28fFixdZs2YNVapU4ZNPPmHlypUcOnQoX++VwkBsbAJZWdmYmZkqpZuZmRAdHatyn+joOMVSn8r549QUZcEg3Egj3KhGeJFGuJFGuJFGuJFGuFGN8CKNcCONcCMoKN5pcoj58+fz6aefYmNjg5WVFQB3797Fw8ODP/7444MGKCiclClThlatWrFixQpycnJo1aoV5ubmiu8jIiLIyMigdu3aijRtbW2qV6+uWEHpGVWrVn2r/UJCQqhbt67K3k2PHz/mwYMHko12oaGhWFlZKe5byB1CZmJiQmhoKNWqVVO5X1paGmlpaUppurq66OqqzC4QCAQCgUAgEAgERRaZ7K2nNi12vFNjiZWVFWfPnmXv3r1cvZrblcnV1ZUmTZp80OAEhZu+ffsq5gJZsGDBOx/HwMDgrfI/m1T2bb97H6ZMmUJgYKBS2sSJE5k0Sb3LIJuaGqGlJScmRrnVPCYmDnNzU5X7mJvnbzXPzW+ipigLBuFGGuFGNcKLNMKNNMKNNMKNNMKNaoQXaYQbaYQbQUHxVsNw9u/fj5ubGwkJCchkMpo2bcqwYcMYNmwY1apVw93dncOH1TtrrqDw0Lx5c9LT08nIyMDPz0/pO3t7e3R0dAgODlakZWRkcOrUKdzc3CSP+Sb7eXl5cfjwYTIyMvLtX6pUKWxsbNi3b5/K47u6unL37l3u3r2rSLty5QpxcXGvjCsgIID4+HilLSAgQDL/h0JHRxt3dweOHbugSMvOzubYsfP4+Dir3Mfb24Xjx88rpR09GoK3t4taY9U0wo00wo1qhBdphBtphBtphBtphBvVCC/SCDfSCDcFg5iz5C0bS2bPns2AAQMwMjLK952xsTGDBg1i5syZHyw4QeFGS0uL0NBQrly5gpaWltJ3BgYGfPnll4waNYqdO3dy5coVBgwYwNOnT+nXr5/kMd9kv6FDh5KQkMBnn33G6dOnCQ8PZ9WqVYSF5U7wNGnSJGbMmMHcuXMJDw/n7NmzzJs3D4AmTZrg6elJ9+7dOXv2LCdPnqRXr17Ur19faTjQy+jq6mJkZKS06WpoDE6fPu1Yv34XmzbtIyLiLpMm/UpKSiodOuT25Bo9eiYzZgQp8vfq9SmHD59l2bJNRETcZd68NVy6dJ0ePVprJF5NItxII9yoRniRRriRRriRRriRRrhRjfAijXAjjXAjKAjeahjO+fPnmTZtmuT3zZo1Y/r06e8dlKDooKrh7BlTp04lOzubnj17kpiYSNWqVdm1axempqq7y73pfmZmZuzfv59Ro0ZRv359tLS08Pb2Vsxz0rt3b1JTU5k1axYjR47E3NycTp06ASCTyfjnn38YNmwY9erVQy6X07x5c0VjSmGkZcu6PHkSz9y5q4mKisXV1Y4lSwIV3Q4jI6OQv9A86+vryvTpI5k9+w9mzlyJjU0FFiwYq6E15TWLcCONcKMa4UUa4UYa4UYa4UYa4UY1wos0wo00wo3meaeVYIoZspycnDeeuUVPT49Lly4plmF9mevXr+Pp6UlKSsoHC1AgKNxcK+gACilOCDeqEF6kEW6kEW6kEW5UI7xII9xII9xII9xII9yoxqmgA3hvPj94SK3HX9OgvlqP/yF4qwYjS0tLLl26JPn9hQsXsLCweO+gBB8HDRo0UCzpK4WNjQ2zZ8/WSDwCgUAgEAgEAoFAIBDAWw7DadmyJePHj6d58+bo6ekpfZeSksLEiRNp3VqMA9ME/v7+BAUFMWjQIBYtWqT03ZAhQ/j111/p3bs3K1asKJgAPxCnTp1669VyNEvRbzVWH8KNaoQXaYQbadTv5tSpUyxdupRLly4RFRXFggULXrnK3ePHj5k2bRqXLl3i9u3b9OzZk7Fjx6o9zvwUPjcAJ06cYOrUqYSHh2NhYcGXX35Jhw4d1B7rc4QXaYQbaTRTD69evZqlS5cSFRWFi4sL48ePx8vLS2XejIwMfvvtNzZv3syjR4+wtbVl5MiR1KtXTyOxPqfwuQFYsWIFa9euJTIyElNTU/z8/Pj22281NrdeLsJNcaSoTMKqTt5qGM6jR4/w9fVFS0uLoUOH4uycO/vw1atXWbBgAVlZWZw9e5Zy5cqpLWBBLv7+/uzfv5+EhAQiIyMVS+ampqZiYWGBkZERDRs2LNSNJQ0aNMDb27tI9xyp/tcRtZ+jZnlTKpuV4mpsMj/XdmVU8BUOPXgimd/JxACbUiW5Hv+UlMwsKpsbEVDFgVkhN9h885Ha4wU42bkO9bYGvz7je/JJWRM8TY0Ii0/if9Vc+f5UKEceSrsZ5m5LdGo656LjScrMpIVVWT6zt+SLwxcIT0hWe7z/talNw+3q91K9jAkepkZci0/ixyqujDsTSvAjaS9DXG2JSUvnXEw8SRmZtKhYli52lgw+eoHrGvACcKBlbfx2qb88VTU3xd2kFOEJyUz0cWXSuSsceyzt5gsXW2JS0zn/JPee8bMsR0cbS74+fp6IRM242eVXhy4H/lP7eRIuXSQ54jr6lay59dtCbL4YjLG3j2T+9OhoovbtpaR1JaL27cXQ0QnLLp+pPc4XWd+wHv2PHFT7eZ5cvERC+HUMbawJXbAI1yFfYu7rLZk/NSqaMxMCsWhQj/J16xAXepWIdevx+Hooph7uao93SZ0GfBF8QO3niblwifjrEZSyrsSlBb/hMfQLyrzCS0pUNCfH/4Blg3pY1KtNbOhVrq/9C8/hQzDTgBeARbUbMuLEfrWf5/H5S8SGR2BsY82Zub9R5etBlK/iLZn/aVQ0/wX8SKVGdbGqX5uYK2FcWf0X1UYMoYyX9Gp9H5KZnzRi/Jm9aj/PnWNnOLlwJVX6fkZpBxvCdxzg7omztJgxET3jUvnyn1+7mTtHTlK1/+eUqlCehxeucP6PjTQK/BZTGyu1xwvwY5Um/Hxhj9rPcyP4DIfmr6L2wK6UcbDh8rYD3Dx+jk5zJlBShZuIw6c4vHA1db/sTllnO+IjH3N4wSpsa1Whhn9HtccLMNqrKcuv7VL7eUIPn+XfmavwG9KVCk7WnNpyiKtHzjFw0TgMTPK7uXzwNNvnrqHlV59j6WpL7P3HbJuzGte6vjTur/5GyD5Ofq/PVMjpcUi9w3D+qF/MhuGUK1eOo0eP4uHhQUBAAO3bt6d9+/Z8//33eHh4cOTIEdFQokF8fX2xsrJi48aNirSNGzdSqVIlfHyev+CmpaXx1VdfUbZsWfT09KhTpw6nTp1SfO/v749MJsu3HTx4EIBVq1ZRtWpVSpUqRfny5fn88895/PixYv+DBw8ik8nYtWsXPj4+lCxZkkaNGvH48WN27NiBq6srRkZGfP755zx9+lTpGjIzMxk6dCjGxsaYm5szfvx4Xmy/e3kYTnh4OPXq1UNPTw83Nzf27NmDTCZj8+bNSrHExcUp9gkJCUEmk3Hr1i1F2pEjR6hbty4lS5bEysqKr776iuRkzfzh87YcexjLost3OPgg5o3yX4tLZvfdaG4kPCXyaRo770Rx/GEs3mWM1Ryp5jnxOI4lYXc4/IoGkheZd/kmayPuczU+iXvJqSy+eod7yanUKldazZFqlpNRcSy7docjr2ggeZEFoTdZd+M+YfFJ3H+aypJrd7ifnEqtssXLC8Dp6FiCrt/h6OM3K0+Lrt7kr1v3uZaQxIOnqSwPv82DpynUKIZujDw8sWjbHmMf3zfKr2NujmXXzyhdoxZaeiXVHF3BUtrTA5sO7TD3lW48epHIg4fQMzfHrmtn9CtYUKFxQ8yr+HJ/j/r/ENUkZl4e2HVoS5kqb+blwcH/KFnGHIfPOmFQwYKKjRtSpqov93bvU3OkmqdsZQ+cO7WlfFXvN8p/e/9hSpYxw+3zTpSytMCmaQPKV/Ph5q7i5+ba9n3YNayFbYOaGFe0oEq/zyihq8PNQ8dU5r99+CQubf2w8PHAsJw5Dk3rUd7bnbBtxc/NpX/349y4Fk4Na2JqZUHtgZ9RQkeHa/tVu3kUdpOyznbY161GqbJmVKzsil3tqkRfv63hyNXPyc0HqOxXC68mNTCvZEHzwV3Q1tXhwp7jKvPfv3qTiq52uDeoikk5M2x9XXGtV4XIa3c0HHnRRa7mrSjw1nFaW1uzfft2oqOjOXHiBMePHyc6Oprt27dja2urjhgFr6Bv374sX75c8XnZsmX06dNHKc/o0aPZsGEDQUFBnD17FgcHB/z8/HjyJPcPqTlz5hAZGanYvv76a8qWLYuLS+465BkZGfz444+cP3+ezZs3c+vWLfz9/fPFMmnSJObPn8/Ro0e5e/cuXbp0Yfbs2axZs4Zt27axe/fufKvOBAUFUaJECU6ePMmcOXOYOXMmS5YsUXmt2dnZdOjQAR0dHU6cOMGiRYsYM2bMWzuLiIigefPmdOzYkQsXLvDnn39y5MgRhg4d+tbHKgo4mRjgZW7Euaj4gg6l0CED9EtokZiRUdChFCpkQMkSWiQIL/mQASW1tEjMyCzoUASFmISIG5i4uSilmXq4kRBxo4AiKhzER9zA1FXZS2l3N+I/ci8AcddvYO6u7KaMpxux14uXm6zMTGJv3qWcx/NrlcnllPVwISZc9bVmZ2aipa2tlKalo010WIRaY9U0WRmZRN+4SwUvZ0WaTC6ngpczj6/dVLlPOWdbYm7cJSr8FgAJj6K5e+4yFX0101NLU2RlZPLw+l1sKiu7sfF25n6YajeWLrY8jLjLg2u5DUdxD6O5cfoKdlU101NLUDx4qzlLXsTU1JRq1ap9yFgE70CPHj0ICAjg9u3ciiA4OJh169YpeoUkJyezcOFCVqxYQYsWLQBYvHgxe/bsYenSpYwaNQpjY2OMjXN7HWzcuJHffvuNvXv3Ur58eSC3QeYZdnZ2zJ07l2rVqpGUlIShoaHiu59++kmxfG+/fv0ICAggIiICOzs7ADp16sSBAweUGjisrKyYNWsWMpkMZ2dnLl68yKxZsxgwYEC+a927dy9Xr15l165dVKhQAYDJkycrrutNmTJlCt27d1dMLuvo6MjcuXOpX78+CxcuzDcfT1Fla6tqmOpqoyWXsfjyHf7R0BCcosRn9paU1JKz/w177XwsdLXL9XIwUnh5mU42lpQsocWhh9EFHYqgEJORkICOkZFSmo6REVkpqWSlp6Olo1NAkRUs6fEJ6Bi/5MW41EfvBSAtLgFdL2U3usZGZBYzN+mJSeRkZ6P70pASPeNSJD54qHKf8l6uXNu+jzIuDhiWM+fR5TDunwohJ/uNZxIoEqTmuXl5uE1JYyPi76t+h7OvW43UxGT+HT+LHHLIycrGpWkdvDsU/SEgL/I0IZmc7GwMTJXdGJiUIuaeajfuDaqSkpDMH2NmQ04O2VnZ+LSoTa0uzTQQcfFAzFnyHo0lgsJBmTJlaNWqFStWrCAnJ4dWrVphbm6u+D4iIoKMjAxFIwaAtrY21atXJzQ0VOlY586do2fPnsyfP18p/5kzZ5g0aRLnz58nNjaW7OxsAO7cuYOb2/PW2RcnWCpXrhz6+vqKhpJnaSdPnlQ6Z40aNZDJnpfEmjVrMmPGDLKystDS0lLKGxoaipWVlaKh5Fn+t+X8+fNcuHCB1atXK9JycnLIzs7m5s2buLq65tsnLS2NtLQ0pbTCPjnUoAMXKFlCCw+zUgz1tOFeUgq774o/8J7RxNIcfycrvj8VSly66EHxjMYVzOnlYMW4M8LLyzS0KEMP+0pMOneFeOFGIBAINIJ3r06cXryGnSN/AJkMw3Lm2NSvya2DqoemfExEXr7G+Y27qDWgK2UcrEl4GM3x5X9z7u8d+HR6ux8Tixu3L4Zz7K/d+H3RGQtnG2Ijo9j3+0aC1+2k9mfNCzo8QRFBNJYUA/r27asYQrJgwYJ3OsbDhw/59NNP6d+/P/369VOkJycn4+fnh5+fH6tXr6ZMmTLcuXMHPz8/0tPTlY6h/UIXSZlMpvT5WdqzhhZ1IZfnjix7cd6TjJeGEiQlJTFo0CC++uqrfPtXqlRJ5XGnTJlCYGCgUtrEiRPB/dUz2xckD57mNu5EJDzFTE+HAe6VRGNJHo0qmDO6sgMTTodxJloMT3pGQwtzRno6EHg2jLMxwsuL1C9vznB3B/4XcpVzT4QbwavRNjIiPSFBKS09IQGtknrFpofAu6BjbER6/Ete4hM/ei8AuiZGpL3kJi0+gRLFzI1OKUNkcjlp8YlK6anxieiZGKncR8+oFHW+HURWegZpScmUNDXmwrp/MChrpomQNYZenpuUl9ykxCdQUsLNmXXbcKhXHefGtQAobW1JZloaR35bi3cHP2TyojIzxKvRNzJAJpeTHKvsJjkuMV9vk2cc/mMb7g2rUdkv101ZmwpkpKazc/46anVpVmzcqBO5rHj13noXxF1SDGjevDnp6elkZGTg56fc7c7e3h4dHR2Cg5+vwJGRkcGpU6cUvUJSU1Np27YtLi4uzJw5U2n/q1evEhMTw9SpU6lbty4uLi5Kk7u+LydOnFD6fPz4cRwdHfP1KgFwdXXl7t27REZGKuV/kTJlygAo5QkJCVHK4+vry5UrV3BwcMi36Ui8kAQEBBAfH6+0BQQEvNW1FiQyQFs8FIDcnhMB3g78cOYaxx/HFnQ4hYZGFuaM8XLgp3PXOB4lvLxIg/LmfOvhyNTzYZyMFm4Er8fI3o640KtKaXFXQjGyt5PY4+PA2N6O2Je8PLkSivFH7gXAxMGOmCthSmnRl0IxdShebrRKlMDU1opHl59fa052No8vh2Hm+Opr1dLRRr+0CTlZ2dw/eY4KVaSXjC2KaGmXwNzOisiLym4eXLxGWSfV80JmpqXnGyshU/xwqL5YNY2WdgnKO1hx68I1RVpOdja3z4dh6azaTUZaOrKX3MiLoZuPif/++482bdpQoUIFpQU+XsXBgwfx9fVFV1cXBweHt14pVvz1VAzQ0tIiNDSUK1eu5GtkMDAw4Msvv2TUqFHs3LmTK1euMGDAAJ4+faroQTJo0CDu3r3L3LlziYqK4uHDhzx8+JD09HQqVaqEjo4O8+bN48aNG2zZsoUff/zxg8V+584dRowYQVhYGGvXrmXevHl8/fXXKvM2adIEJycnevfuzfnz5zl8+DBjx45VyuPg4ICVlRWTJk0iPDycbdu2MWPGDKU8Y8aM4ejRowwdOpSQkBDCw8P5559/XjnBq66uLkZGRkqbpobhlNSS42hsgKOxAQAVDPRwNDagXMnc8w/2sGZStefr23eyt6CORWmsDPWwMtTjU5tydHe2ZOftD9fIVVgoqSXHwcgAB6NcNxb6ejgYGVC2ZG6j10AXa773dlTkb2JpzlgfRxZcvsWVuERK62pTWlcbgxL5G+eKMnpacuxLGWBfKs9LST3sSxlQVi/XS39nawK8nntpXMGcgMqOLAzN9WKqo42pTvHzArlu7EoZYJfnpnxJPexKGVBGL7c89XG0ZpTH8/LU0KIMozyd+D3sJlfjn7vRL4ZuslJTSbl7h5S7uSsFpEdHk3L3DulPcueuidy0kTvLlyrt8yx/dloamYmJpNy9Q+qDBxqPXd1kpaaSdOcuSXfuApAWHU3SnbukxuROlH5zwybCljyfbN2iQX1So6K5+dcGnkY+5MH+g0SdOoNl08LbG/FdyExNJfHOXRLzvKRGR5P4gpeIvzdxZfFzLxUa1CMlKprr6zeQHPmQ+3leKjZrXCDxq5PM1FTib98l/naum6dRMcTfvktKdK6bq+s3E/LbCkV+60Z1efo4mtB1G0l68JBbew8RefIstn7Fz41Ty8bcOBDMrf+Ok3D/IWeWrSMzNQ3b+jUAOPFrEBfW/aPIH3P9JvdOhpD0KJqoq9f5b9p8crJzcGnTtKAuQW14tG5E2L6jhB88Tty9hwQv/pPMtDScGua6OTRvJadWP3dTqaoHV3cfISL4NImPorl/PpQz6/6lUhVP5FrF68+86u0acn7XUS7uO0H03Yfs+nU96anpeDX5BICtM1dxMGiLIr9DdQ/ObT/Clf/OEPcwhpvnrvLf6m04VPcodm7UhVym3u1tSU5OpnLlym88kuLmzZu0atWKhg0bEhISwvDhw+nfvz+7dr35UtdiGE4xwchIdfc8gKlTp5KdnU3Pnj1JTEykatWq7Nq1C1NTUwAOHTpEZGSk0vwjAAcOHKBBgwasWLGC77//nrlz5+Lr68v06dP59NNPP0jcvXr1IiUlherVq6OlpcXXX3/NwIEDVeaVy+Vs2rSJfv36Ub16dWxsbJg7dy7Nmz8fd6itrc3atWv58ssv8fLyolq1avz000907txZkcfLy4tDhw4xduxY6tatS05ODvb29nTt2vWDXNOHxrV0KRY18FR8/sY795eXf2894odT4ZiX1KGc/vOGG7kMhnhaU8FAj6ycHO4lpbLgwi023lA9cVpRxtnEkLm1nrsZ5p7768KOu4+YEnIdMz1tRaMSQJtK5SkhlzPCy54RXvaK9Gf5iwvOxobMrvHcyxC3XC877z1i2oXrmOlqU/YFL62tcr0M97BnuMdzL8/yFyecjErxS/Xnbr5wyS1Pu+8/YsalcErr6lDmBTctKua6GebmwDA3B0X6s/zFiZTbt4mYNV3x+cHf6wEwrVGTSv59yYiPI/2J8nLU1/73vPE85c5t4k6dRLu0GW6Tp2omaA2ReOs2F3953vPyxp9/AVC2Vk2c+/mTHhdP2gtu9MqY4/71UG6s+4v7e/eja2qCU++emHoUrxUqEm/dJuTnWYrP19f9DUD52jVw7edPeryyl5JlzPEaPoTr6/7m3t4D6Jqa4OzfA7Ni5gUg/uYdjk957iZ0Ta6binVqUHlgb9Li4kmJee5Gv4w51b4dwpXVf3Fr9wH0Spvg2a8HZbyK38odlWpWIS0hkUt//0tqXCIm1pbU+24IenmT/z6NiVXqEZCVkcmlv7aS9DiaErq6WHi788ng3ugY6BfUJagNu9pVSE1I4syf20iJS8TMxhK/sUMUw3CSop8ozfXn3bE5yGScWfsvT5/Eo2dkSKWqHlTp1qagLkFtuNb15Wl8EodXbyc5NoGydhXpGvglBqa5bhKiYpXc1O7qh0wm478/tpEUE4++kSEO1d2p17N1QV2C4D1p0aLFWy3ssWjRImxtbRU/nLu6unLkyBFmzZqVbzSGFLKcHNERSVC0kclkbNq0iXbt2mn83NX/OqLxcxYFTnauQ72twa/P+JHxX5vaNNwuvKjiQMva+O0S5UkVu/zq0OXAfwUdRqFkfcN69D9ysKDDKHQsqdOAL4IPFHQYhZJFtRsy4sT+gg6jUDLzk0aMP7O3oMMolPxYpQk/X9hT0GEUSkZ7NWX5tTf/pf5joY9T0V+RaKCan6+/12nwzvu+yd9/9erVw9fXl9mzZyvSli9fzvDhw4mPf7P550QfJEGR4uDBg8hkMuLi4gDeaNzZpEmT8Pb2VmtcAoFAIBAIBAKBQCB4M9LS0khISFDaXl599H14+PAh5cqVU0orV64cCQkJpKSkvNExRM8SwVvj7+9PUFAQU6ZM4bvvvlOkb968mfbt26POWyo9PZ0nT55Qrlw5ZDIZK1asoE+fPq9sWUxKSiItLQ0zs6I7a/rq1atZunQpUVFRuLi4MH78eKWlml9mx44dzJkzh/v372NjY8PIkSOpX7++BiPWHMKNNMKNaoQXaYQbaYQbaYQbaYQb1Qgv0gg30ryNm/DwcObOncvly5e5f/8+AQEB+Pv7azbgIo66eyiW33NI5WqjkyZNeu2+b9KzxMnJiT59+igtyrF9+3ZatWrF06dPKVmy5GvPI+YsEbwTenp6TJs2jUGDBinmPtEEOjo6lC9fXinN2Nj4lQXF0NAQQ0NDtcSTQ6hajvsi27cfYcqU2UwK/JLKlZ0ICtpCv37+7Ni5ADMzk3z5z569yrfffs+IET1p0LAq/279jyFDBrNh4wycnKzVHi+ADFdyCHt9xvdk+/bDTJkyi0mBg19ys1DCTSjffhvAiBG9aNCwGv9uPZTnZpZG3Mhw1ogXKJpu4Npr870vuV5mEhg4RMnLzp2LXuHlO0aM6E3DhtXYmudl48bZGitP4IRwI4VwoxrNeIGi6SY754oGzvPs+T2HSZO+wKuyEyuDttKvnz/bd8xX6ebc2at8++1YvhnRgwYNqvLvv4cZMmQwf2+YrhE3cpmbeHZLIMNZI/dNUbtnIPe+Sc8+o/bz7Nx+jClTFjJ+Ul+8vBxYtXIHffv1Zuv2GZiZGefLn/g0ggoVtWnSrD0/T/2DrJx7GonzGTryKho7V1ElICCAESNGKKV9yAU0ypcvz6NHj5TSHj16hJGR0Rs1lIAYhiN4R5o0aUL58uWZMmWKyu9jYmLo1q0blpaW6Ovr4+npydq1a5XyNGjQgGHDhjF8+HBMTU0pV64cixcvJjk5mT59+lCqVCkcHBzYsWOHYp+Xh+E8Y/PmzTg6OqKnp4efnx93795VfPfyMJxTp07RtGlTzM3NMTY2pn79+pw9e/b9paiJFcv/oXOXZnTs2BgHBysCA79ET0+XDRv2qcy/auVW6tT1pV//9tjbW/H18O64udmx+o/tGo5c/Tx30wQHh0oEBg7Oc6N6zPVzNx3y3PTIc7NNw5GrH+FGNcuXb6ZLFz8VXlSPRV+5cgt16/rSP8/L8OE9cHOz548//tVw5OpHuJFGuJFGuJEmaMUWOnduSoe85/ekwC/Q09Nlo8Tze+Wqf6lTx4d+/fKe319/jqubHWtWF6/nt3g+SSPuGWlWBm2nY+eGtO/QAHuHikyY1I+Serps2nhIZX4PT3u+HdWdFq1qoaMj+ge8C+peDUfdq43WrFmTffuUy86ePXuoWbPmmzv4YNEIPiq0tLSYPHky8+bN4969e/m+T01NpUqVKmzbto1Lly4xcOBAevbsycmTJ5XyBQUFYW5uzsmTJxk2bBhffvklnTt3platWpw9e5ZmzZrRs2dPnj59KhnL06dP+d///sfKlSsJDg4mLi6Ozz77TDJ/YmIivXv35siRIxw/fhxHR0datmxJYmLiuwtRE+npGVy+HEGtWs+7GMrlcmrWqkzIOdW//oSEhFGrpnKXxNp1fAgJ0UyPBk2R6+Y6tWp5K9Keu7mqcp+QkKvUqllZKa12HV9CQlTnL6oIN6p57uX5dcrlcmrV8uacZHm6Ss2a3kppder4FCsvINy8CuFGGuFGmmfP75ovualZ00vyeXw+JEwpP0Cd2t6EhGiml5AmEM8nacQ9I01GeiZXLt+kRk0PRZpcLqdGTQ/OhxSvlekKE4Vt6eCkpCRCQkIICQkBcpcGDgkJ4c6dO0BuT5VevXop8n/xxRfcuHGD0aNHc/XqVX799VfWr1/PN9988+YO3j5MgSCX9u3b4+3tzcSJE/N9Z2lpyciRI/H29sbOzo5hw4bRvHlz1q9fr5SvcuXKjBs3DkdHRwICAtDT08Pc3JwBAwbg6OjIhAkTiImJ4cKFC5JxZGRkMH/+fGrWrEmVKlUICgri6NGj+RpmntGoUSN69OiBi4sLrq6u/P777zx9+pRDh1S3TBcksbGJZGVl5+t6aW5mTHR0rMp9oqPjMDN/8/xFldjYBAk3JkRHx6ncR7UbE+GGj8PNcy/KQwfNXnGd0dFxmL/kxewVHosqwo00wo00wo00cYrnt/LwADPzV9fD5i/V27n5i2M9bKKU/rE/n0DcM68iNk7CjZkxMcWs7hBIc/r0aXx8fPDx8QFgxIgR+Pj4MGHCBAAiIyMVDScAtra2bNu2jT179lC5cmVmzJjBkiVL3njZYBBzlgjek2nTptGoUSNGjhyplJ6VlcXkyZNZv3499+/fJz09nbS0NPT19ZXyvTgpk5aWFmZmZnh6eirSns1g/PjxY8kYSpQoQbVq1RSfXVxcMDExITQ0lOrVq+fL/+jRI8aNG8fBgwd5/PgxWVlZPH36VKlwvUxaWlq+2Zl1dXXR+XA9xQQCgUAgEAgEAoGgUFDYelU0aNDglQuJqFoltUGDBpw7d+6dz1nYHAiKGPXq1cPPz09plmGAX375hTlz5jBmzBgOHDhASEgIfn5+pKenK+XT1tZW+iyTyZTSZLLcPlrZ2dkfLObevXsTEhLCnDlzOHr0KCEhIZiZmeWL7UWmTJmCsbGx0iY1X8uHxNS0FFpacmJi4pTSo2PiMTdXPbGuublJvlb2V+UvqpiaGkm4yf+r5TNUu4kTbvg43Dz3ovyLW8wrrtNcxS96Ma/wWFQRbqQRbqQRbqQxUTy/45XSY1T0rHmGubkJ0S/V27n5i2M9HKeU/rE/n0DcM6/C1ETCTUx8vl5HAsGHRDSWCN6bqVOnsnXrVo4dO6ZICw4Opm3btvTo0YPKlStjZ2fHtWvqGT+ZmZnJ6dOnFZ/DwsKIi4vD1dVVZf7g4GC++uorWrZsibu7O7q6ukRHR7/yHAEBAcTHxyttLzcQqQMdHW3c3e05duz5MKTs7GyOH7uAt4+zyn28vZ05dlx52NLRoyF4e6vOX1TJdePAsWPnFWnP3bio3Mfb20XCjer8RRXhRjXPvSiXp2PHzuMjWZ5cOH78vFJacfMCws2rEG6kEW6kefb8Pv7y8/v4RcnncWVvZ6X8AEePnsfb20mtsWoS8XySRtwz0mjrlMDN3ZYTxy8r0nLdXKayt2MBRla8kcty1LoVBURjieC98fT0pHv37sydO1eR5ujoyJ49ezh69CihoaEMGjQo39JNHwptbW2GDRvGiRMnOHPmDP7+/tSoUUPlEJxnsa1atYrQ0FBOnDhB9+7dX7t8lLpna34V/n3a8tf6PWzatJ+IiLtMmrSIlJRUOnRoDMCY0bOZMWOVIn/PXm04cvgcy5Zt5kbEPebNW8vlSxF079FSI/Fqklw3u9m0aV+em4UvuZnFjBlBivy5bs6ybNmmPDdruHzpOt17tCqoS1Abwo1q+vRpx/r1u17w8muelyYAjB49U8lLr16fcjjPS0TEXebNW8OlS9fp0aN1QV2C2hBupBFupBFupOnt/yl//bWHzXnP78BJv5GSkkr7Z/XwmDnMfOH53atna44cOcfyZf9w48Y95s9bx+XLEXzevXg9v8XzSRpxz0jTq3dLNvx1gH82/8eNiPv8GLiMlJRU2rWvD8D3Y35l9sx1ivwZ6ZlcDb3F1dBbZGRk8vjxE66G3uLO7YcFdQmCIoiYs0TwQfjhhx/4888/FZ/HjRvHjRs38PPzQ19fn4EDB9KuXTvi4+NfcZR3Q19fnzFjxvD5559z//596taty9KlSyXzL126lIEDB+Lr64uVlRWTJ0/ON+dKYaJlyzo8eRLPvLlriYqKxdXVlsVLJiq6ZD6IjEL2wpTSvr4uTJ8+gtmzVzNr5h/Y2FRg/oLvcHKyLqArUB8tW9bNc7Mmz40di5dMUnQ/ze/GlenTv81zsyrPzffCDR+Pm2de5s5drfCyZEmgwktkZBTyfF5GMnv2H8ycuRIbmwosWDC22HkB4eZVCDfSCDfStGxZh9gnCcydt47ovOf374snKJ7fkQ+ikMueu/HxdeGX6d8wZ/YaZs36A2sbC+bNL37Pb/F8kkbcM9I0b1mTJ7EJLJj7N9HRcbi4WrPo9+8wN8+d9DUyMgaZ/Hk/gMdRsXTu8L3i84pl21ixbBtVq7myfOV4jcdfFHmXFWuKG7KcV82SIhAIXkkOoQUdQqFEhis5FK+lij8EMpyFFwlkOAPFa6nDD4cTwo0Uwo1qhBdpnMjOuVLQQRRK5DI38YySQIazuG8kkMvcSM8+U9BhFDp05FUKOoT3ZsSJ/Wo9/sxPGqn1+B8CMQxHUCRYsWIFJiYmBR2GQCAQCAQCgUAgEBR75GreigKiZ4mgwPH39ycoKIgpU6bw3XffKdI3b95M+/btycnJISUlhcTERMqWLVuAkQoEAoFAIBAI3odTp06xdOlSLl26RFRUFAsWLKBJkyaS+R8/fsy0adO4dOkSt2/fpmfPnowdO1aDEWuOt3UDcOLECaZOnUp4eDgWFhZ8+eWXdOjQQUMRa5bVq1ezdOlSoqKicHFxYfz48Xh5eUnmX7FiBWvXriUyMhJTU1P8/Pz49ttvNTbvYFFnpJp7lkwvAj1LxJwlgkKBnp4e06ZNY9CgQZia5l/urGTJkq+dhPVDkJGRkW8541fhvfqwGqPJpXYFU7zLGHElJolZ9d345tAVDtyLkczvbGqArZE+4XHJpGRm4V3GiPGfODL9zA02XNfMpFYh3evitUr9bupUMMW7bK6b2Q3c+PrgFQ7clXbjYmqArbE+12Jz3fiUNWJCDUd+Pn2DDeHqd3OhZ10cFv2n9vPUszKlSnljLkUlsrC5O1/svMzeW9JenlFKR4t/OvpyOyEFs5I6fPr3WbXH+ozrX9Sj0qyDaj9PA5vSVK1gzMVHiSz+1IP+Wy6xO0J6NawaFU1Y39mb+stPkJSepUiPfpqOpn5puPNNAyrNOaT28zSwLk3VCkZcfJzI4tYe9N96id03pO+bGpbGrO/kTf2gkySlZyrSo59maM7N1/WxX6j+MlW/0ktlasdl9rxpmerky+34FMz1dWjzl2bKVMSX9aj8h+aeT6FPcp9Pww+++vnkYmqAjbE+4S/UweM/ceSX05p7Pp3vUZd6W4PVfp5PyprgaWpEWHwS/6vmyvenQjny8Ilk/mHutkSnpnMuOp6kzExaWJXlM3tLvjh8gfCEZLXHC/Bfm9p8dkD95Sn+0kWS9Upi2KETUb8tZPrFyyzR0pHMnxYdTVRyCiUbNERv31523LvPRQ3E+SLrGtZj6LEDaj9P9IVLxBnqUeGzDkTN+43fr15ks4GWZP6UqGiOjv2Big3rUbVHZ55cucr3Y8eyPvoB5p7uao8XYH7Nhsy4uEft54kIPsOBeauoO7ArtRxtuLjtAN39e9F17gRKGpfKl//64VMc+nU19Qd3p6azHfEPHvPXglWcjblDTf+Oao/3W8+maj+HuhFzlojGEkEhoUmTJly/fp0pU6bw888/5/t+xYoVDB8+nLi4OEXaTz/9xNy5c0lJSaFr166Ym5uzc+dOQkJCFHmWLFnCjBkzuHnzJjY2Nnz11VcMHjwYgFu3bmFra8u6dev49ddfOXHiBIsWLcLf31/NV/t2BD+IJfhB7BvnD4tNJiz2+YvVg+QoGluZ41PWSGMvo5riyINYjryFm6uxyVx90c3NKBpXMse3rJFGGks0xX93Y/nv7pt7ecaP9RzZcv0x2TnQxMZMDZEVPAdvPeHgLek/WKSISckgIS3z9RmLMAdvP+Hg7Xdw8zSdhBcakoojh+7EcujO25epn+o5sjX8MVk50NS2+JWpt30+qayDrfLq4GL2fDrxOI4Tj+PeOP+8yzeVPi++eoc65c2oVa60xhpLNIWxhyfGHp5vnF/X3JyKXT8D4Emw+hu6ChJzLw/MvTzeOP+9A/9Rsow5zt06AWBYwYK4axHc2bVPY40lmuLC1v24NKmFc6OaANQd+Bl3zl4mbP8xvNs3y5f/YdhNyjnb4VC3GgClypphX6cqj8NvaTJsQRGnqAwXEhRztLS0mDx5MvPmzePevXuvzb969Wr+97//MW3aNM6cOUOlSpVYuHBhvjwTJkzgf//7H6GhoUyePJnx48cTFBSklO+7777j66+/JjQ0FD8/vw96XYUBZ1MDKpcx4syjD78SUVHHxdQAb+EGgI7O5bAy0mPe6dsFHUqhZEf3qpweWJPVHbyoWsGooMMpVOzoXpXT/Wuwur0XVS2Em2c8K1NzRZmSxCXv+XT6saiDX0YG6JfQIjEjo6BDERRi4q7fwMzNRSnNzNON+IgbBRSResjKyCT6xl0qejkr0mRyOZaezjwKu6lyn/LOtkTfuKtoHEl4FM3ds5ep5FO8GpHUiUyWo9atKCB6lggKDe3bt8fb25uJEye+culfgHnz5tGvXz/69OkDwIQJE9i9ezdJSUmKPBMnTmTGjBmKcZu2trZcuXKF3377jd69eyvyDR8+vFiO7dzVvjqmutpoyWQsunibTRGPCjqkQsOeDtUx1ct1s/DCbTZe/7jdWBvrMeoTWz775zxZRePZpTEeJ6cRsDeMC48S0dGS85mHBX928qbturNcepz0+gMUYx4npxOw7xoXHue5cS/Pnx0r0/bPc1yK+rjd2BjrMbqGLV03izKlit3tn9fBiy7eZtNHXger4jN7S0pqydn/4PXDvQQfL+nxCegYKzdS6xiVIjMllaz0dLR0pIc3FSVSE5PIyc7ON9ympIkRcfdV1x8OdauRmpDMlvGzyMnJIScrG9dmdfDpWPx+GBWoD9FYIihUTJs2jUaNGjFy5MhX5gsLC1MMp3lG9erV2b8/dyKi5ORkIiIi6NevHwMGDFDkyczMxNjYWGm/qlWrvjautLQ00tLSlNIK++RQfXafR19bCy8zI77yseFuYio7b0cVdFiFAv/d59EvoYWXuRFf++a62XHr43Qjl8Gsxq7MOX2bW/EpBR1OoeNGbAo3Yp97OROZgLVJSfr7VmT4zqsFGFnBcyMuhRtxL7kxLkl/n4oM3/3xupHLYFYTV2afEmVKij67z1NSO68O9rHhTmIqOz/SOlgVTSzN8Xey4vtTocSli54lAsG78ODSNc5t2kWd/l0p62hN/MNoji7/m7N/7cC3c4uCDq9IIOYsEY0lgkJGvXr18PPzIyAg4L3mDnnWw2Tx4sV88sknSt9paSlPlGVgYPDa402ZMoXAwECltIkTJ4Jj43eOUd08SM5t3Lke95TSJbX5wquSaCzJ435SrpvwPDdfelX6aBtLDLS18CpbCjdzQybWcQByH45ymYyrA+vi/+9Fjj+IK9ggCxkhDxOoVsH49Rk/QkIeJX70bl4sU5PqKpepsEG5ZerY/biCDbKAuf/C88lML7cOFo0luTSqYM7oyg5MOB3GmWgxPEnwanSMjUiPT1BKS09IpERJvWLTqwRAr5QhMrmclPhEpfSUuAT0TVQP/zy9bhuO9arj0qQWAKWtLclMS+O/RWvx6eiHTC5moxC8HtFYIih0TJ06FW9vb5ydnSXzODs7c+rUKXr16qVIO3XqlOLf5cqVo0KFCty4cYPu3bu/d0wBAQGMGDFCKU1XV5fNf59872NrAjkydMRDQSVyZGhrfbxuktKzaPHnaaW0Hh4VqFHBhKG7r3AvMbWAIiu8uJcx5HFyekGHUSjJdZP2+ozFGFVlqrt7BWpa5papuwmiTL2IXCZDWzyfAGhcwZzvvB0IPHON44/ffkJhwceHiYMd0RcuKaU9uRyKsb1dAUWkHrS0S2BuZ8X9i2HYVK8MQE52Ng8uXsO9RT2V+2SmpyOTKXeNeNZAkpOTOy+Q4NWImlk0lggKIZ6ennTv3p25c+dK5hk2bBgDBgygatWq1KpViz///JMLFy5gZ/f84RAYGMhXX32FsbExzZs3Jy0tjdOnTxMbG5uv4eN16OrqFtiwm5Il5FQq9XzZZEtDXZxNDYhPy+Th0zSGedtQtqQO449dA6CrkwWRyWncSngKgG9ZY3q5WbI27EGBxK9OXufmKx8bypXUYezR524ePk3jZnyumyrljOntZsmaYuZGv4Qca+PnXqyM9HA1MyAuLZPIpDRGVrehnIEuow6EkQOExz5V2j8mJYO0rOx86cUBfW0tbEyU3biVMSQuNYMHiWmMqW1LeUNdvtmVO4ykn09F7sSncC3mKbol5HTzsKCWlSk9Np4vqEtQG/racmxevG+M9XAzz71vHiSmMaaWLeUNdfhmdxgA/bwtuZOQyrWY5Fw37hbUqmhCj80XCuoS1MbLZariy2XqExvKG+gycn9umbr2RHWZejm9qPPaOtjbhrL6Oox7sQ5OTuNm3vOpSlljerkWvzoYoKSWHEuD524s9PVwMDIgISODxynpDHSxxlxPh8kh4UDu0JvvvR2Ze+kmV+ISKa2rDUBaVjbJmcVrtams1FTSoh4rPqdHR/P07h1KGBigU9qMB5s2kh4Xi02ffoo8T+/eyd03LY3MxESe3r2DTKsEJStU0Hj86iQzNZWUR897WaVER5N4+y4lDA0oaVaa8L82kRYbh8fA3Dn7Kjasx529B7n25wYs69bmSehVHp08g/c3QwrqEtSGV5tGHJy/ijL2lSjjkLt0cEZaGk4NawBwYO5KDMyMqd69LQCVqnhw8d8DmNlWpKyjDQkPozi97l+sq3oi/4h/JBO8HaKxRFAo+eGHH/jzzz8lv+/evTs3btxg5MiRpKam0qVLF/z9/Tl58nlPj/79+6Ovr88vv/zCqFGjMDAwwNPTk+HDh2vgCj4c7qVLsaSpl+LzyCr2AGyJeMSE49coo6eDhcHzhhwZMr7ytsHSUI/M7BzuJaUy59wt/g6P1Hjs6sbdrBTLmj13M7pqrpt/Ih4x/ug1ypTUofwLbuQyGV/7vOAmMZXZ527x17Xi5cazbClWf1pZ8XlsrVwvG8IeMubANcoY/J+9846K6ugD6N2lSkdQQERQESkiiBUb1mjsJRqNDVuKyZcYNSoqojGG2FuKSSxg7zH2qBiNvaBYURFBrHREkA7fH+DKyq5i2aU495x3jvt23sxvr/PmLbNTtKliWLrX3FEVdS0M2dTHXfbar1X+NInNVx8xdv91KuvrUMVQV/a+loYEXy97LA20ScvKJTQuhU+2XuTkvSQ1R6566lY2ZNNH7rLXfi0L3Fx7xNgDN6isr/2CGym+LWoWcpPKJ39dKpduXCsbsq7783tqSrOCe+r6I8b/e5PKetpYGbx/95SLmSHLCz2fvivUBk89eRNzBW3w1/Xkn08Ly+nzqbaJAYubPt8e938u1QHYezca/5BbmOlqYVHhuZuu1SzRlEoZU7cmY+rWlJ1/lr488fTOHW4tmCt7fX/LJgAqNvHE1nsYWY+TyEqQ38b8xswZsn+nRd0h8ewZtCua4fLjT+oJWk0kR9wheNYC2eub67cAYNWsCXVGepOR9Jj0+OduKlQyp963X3Jz/RaiDvyLrqkJzkMHlrttgwFqNqtPWnIK5zbs5mnSE8zsrOk0+UvZNJyUuAQkhRbZ8PioIxKJhHMbdpGa8BhdIwNs69eh4SddS+ojlDmkZWTHGlUiycvLExYE5YL27dtjaWnJ6tWr1Vam+9qjaiurLBEyoAV1Vws3L3JpUAvsl/5X0mGUSm593pJqCw6XdBilkqhvW1Ft0ZGSDqNUEvWNFzV/E/fUi4R/0RK3NaINVsTFgS1oufN4SYdRKvmvazP6/SvuJ0VsaN2Sr07+W9JhlEp+9mzNvMsHSjqMUsdY1/YlHcJb43f+oErzn+7RTqX5vwvEGCRBiRAQEICJickbX//06VPmz5/P1atXuX79On5+fhw8eFBuS+B3VZZAIBAIBAKBQCAQCN4vxMgSwTvH29ubwMBA/P39mThxouz89u3b6dmzJ3l5eaSlpfHkyRMqV678RmWkpaXRtWtXLly4QHp6OrVr12bKlCn06tVLYdq3KUsgEAjeB86ePcvy5cu5cuUKsbGx/PLLL7Rrp/xXn5iYGGbNmsWVK1e4c+cOgwYNYvLkyWqMWH28rhuA06dP89NPPxEWFoaVlRVffPGFwmdUWUZ4eTVr165l+fLlxMbG4ujoiK+vL3Xr1lWYNisri99//53t27cTHR1N9erVGTduHC1bKl7AsiwjvChHuFGOcKNepl9Q7cgSv3qlf2SJ6CwRvHO8vb3ZuHEjurq63L59G1NTU0C+s0RdZGVloaWlpbL8bX9Q/bDDVjXNaGBjwuWHyfzRx52Rm0LYf1P5FotNbE3ZOKgBrX49TkpGtux8XGom6jJ/Z0p77H5W/bSBVtUqUt/KiCuxT/i9Ux0+3X2F/RHxStM3sTZmQ093Wq85Q0pmITdPs9TiJvIrL1xXqX5ofPMqptSrbMTV+BQWtXbmm3+vceiuci+OFfWpbqTHzcRU0rJz8KhshG+TWsw5d5stYY9UHi/A5cEtaP73MZWX06SyKa4VDbnxOJUfGznhc/oaRx8lKE3/dZ3qxKVncj7uMSlZ2XSqZkF/e2s+/e8iYY9TVR4vwLHuzel+UPX1JuXqZdJu30LXxpb7f/6K9adfYuhWT2n6zPg4Eg8dQLeaLQmHDqBXqzYWH/VTeZyF+btdC0YcO6zychIuXyE57BYGdraE/rIUpy+/wNzDXWn69Ng4gqdOx6pVSyxbNCcp9DrhGzZR55uvMK2j+rUEljVvxddqmDIQe+kKSWHhGNlVI2TJ77j/73Ms6rsrTf80No4Tk7+nauuWVPVqRvy169xYtxmPb79U2xoLiz1bM+FskFrKunfqHOeXrsJtaH9M7e0I33eIB6fP027ONHSMDYukv7rhL+4eP4P78AEYVrEk5tI1Lq/dSku/cZjY2ag83lkN26p82D1A1MlgTv26igbD+2Fmb8eNvf9y9/R5Os/zQ1eBl5B127lz7AwNR36CURVLHl66RsjqbbSbPhbT6qr3AvnTBVT9hyPAnRPBnPx1FQ1H9MPc3o7re/4l6vR5us5X7ObC2u1EHjtDo08/wbiKJQ8vXuP86m20/34sFdXkxq9eO3zOqf6eunfyHOeWrsJ9WH8q1rTj1r5D3D99nvZzpyl0c2X9X0QdP4PHiPz7KfrSNS6t2Uqraeq5n/wbtFV5GapGdJaIaTgCFdGuXTssLS3x9/dX+L6iqTE//PADlStXxtDQkBEjRjBx4kTc3d3l0ixbtgwnJyd0dXVxdHTk119/lb0XGRmJRCJh48aNeHl5oaury9q1a4uUFR4eTvfu3bGwsMDAwICGDRty8KDqH4BvyuHweOYeDuefG8o7SBQRn5pJbKGjPPaKHo5KYN7pSP65rbwjQBHxTzOJfZolO8qbm2MPElkScuelHSSFuZ6Qyt7IWMIfP+VBaga7ImI58SARj8pGKo5U/ZyKSeTP61H897B4bhZfiWDdrftcT0rhXmo6f4Te4V5KGs0sKqo4UvVj4OJKpa49MXT3KFZ6bTNzLPr0x7hxU6QVKrz6gjJMRdc62PXqgbmH8s6jwjw8fARdc3NqfNwHvSpWVGnbGvP6Htw/UHqfNW9Cpbp1qNW7Oxb1i+fl7r//UaGSOY79P8KgihW27Vpj0cCDyH/U03mhbsL3HsK2dTNsvTwxsrbCfWh/NHS0uXPkhML0d4+dwaFbRyzd66Bf2Zzq7Vpi4e7CrT3lq95c3x1EzTZNqdHKE+OqVjQc3g9NbW1uHz6pMH3k0TM49+hAlXp1MLAwp1b7lljVc+H67vJXb565qVngptGIfDfhytwcO4NLjw5YP3PzQUuqlFM3YXsPYde6GXZenhhVtaLesJffT1HHzlC70P1Uo11LLN1dCCtn95Mq0VDxURYQnSUClaChocGPP/7IkiVLuHfv3ivTr127lpkzZzJr1iyCg4OpVq0av/32W5E0U6dOZebMmYSGhvLjjz/i6+tLYGCgXLqJEyfyzTffEBoaSocOHYqUlZKSQqdOnQgKCuLChQt07NiRrl27EhUV9XYfupSxZ2QTzn7TkjWfeNCgqnFJh1Oq2NOvAWeGNmF1t7rUtyx/HQJvi2NFfdwrG3Eu+nFJh1LqkAB6mhokZ2W/Mq3g/SU5/DYmzo5y50zrOJMcfruEIiodPL51m4oveDF3deZxOfSSm51NUkQUlVxqy85JpFIquTiScCtC4TU52dlIteQ3qtTQ0iL+ZrhKY1UnOdnZJEbcxaLO83ogkUqxqONIfJjiepCbnY30hVHCGlpaxN4oP14g301CxF0sXeXdWLo6EndTsZucrGw0XnSjrUXs9fLl5tn9VLmO/P1UuY4jCWGK76fc7Gw0tF+4n7S1iC9n9UagWsTWwQKV0bNnT9zd3fHz82P58uUvTbtkyRKGDx/O0KH5+8ZPnTqV/fv3k5KSIkvj5+fHvHnzZHObq1evzrVr1/j999/lFnYdPXr0S+c/u7m54eb2fAvIGTNm8Ndff7Fjxw6++uqrN/qspYmYJxn47LnGpQfJ6GhK6eduzYZBDeix8gxXHj0p6fBKlJjUTCb9e5NLMU/Q1pDSz9mSDT3d6LHlAldjU16dQTnnYO9GmOpqoSGR8NvFO2y7FV3SIZU6+ttbU0FTg0P340o6FEEpJis5GW0j+Y5YbSMjctLSycnMRENbu4QiK1kyHidjbvyiF0Oyy6GXjCcp5OXmovvC59UxNiTloeK21cLVifC9hzB3rIV+ZXNir97g4bkQ8nLLz/jHzORnXuSnTegaG5L8QPG0T8u6TtzYHURlR3sMLMyJvnKDe2fLlxeAjJe5ua/YjVVdJ67vCaKSkz2GFuY8unKDu2fKoZuC+0nnxfvJyJAnDxTfT5VdnQjb8/x+irl6gwflsN6oErF1sOgsEaiYWbNm0aZNG8aNG/fSdDdu3GDUqFFy5xo1asShQ4cASE1NJTw8nOHDhzNy5EhZmuzsbIyN5UdNNGjQ4KVlpaSkMG3aNHbv3s3Dhw/Jzs4mLS3tpSNLMjIyyMjIkDuno6Pz0nJKitsJT7md8FT2OvjeY6qZ6jG8cTW+/ftqCUZW8txOSuN2Uprs9flHydgaV2C4W1XGHLxegpGVDob8cxE9TQ3qVjJitIcdUU/S2Rv5etO/yjPtrSsxtHY1fM5cIykzq6TDEQgE5QzXQX24sHwtB7+bjkQiQb+yOdVaenLniOIpGO8LHkM+4uyf69gz9nuQSDCwMKe6lycRSqamvE/U9/6IM3+sY/eY525qtPLk9r/CjdvgPpxftpb94wruJwtzbFt6Evme30+C10N0lghUSsuWLenQoQM+Pj54e3u/cT7PRpj8+eefNG7cWO49DQ35WW/6+vovzWvcuHEcOHCAuXPnYm9vT4UKFfjoo4/IzMxUeo2/vz/Tp0+XO+fn5weazV7nY5QYFx88pqGNSUmHUSoJiX5CwypimhLA/ZT8DsGwpKeY6WrxhVs10VlSQFtrcya42+N77jrnYsX0JMHL0TIyIjM5We5cZnIyGhV0y9XoiddFx9iIjMcvenmCZjn0omNogEQqJf2Fz5vx+EmRX8dl1xgZ0uTbz8nJzCIzJRVdU2OubdyOfmVzdYSsFrSNnnmRH+ma/vgJFUwUe9E1MqTF2M/IycwiIyWVCqbGXFz/N/qVzdQRstrQeYkb3Ze4aTlO3k3Iur8xsChnbgrupxfbj4zkJ0VGb8muMTLEc4z8/XR1Q/m6n1SNVFLSEZQ8Ys0Sgcr56aef2LlzJydPKu/JrV27NmfPnpU7V/i1hYUFVapU4fbt29jb28sd1atXf614jh8/jre3Nz179sTV1RVLS0siIyNfeo2Pjw+PHz+WO3x8fF6r3JLE2cKQmJSMVyd8D3E2NyAmVbh5EalEgraGeEQAtLM2Z1K9WkwLvsHJ6MSSDkdQBjCqWYOkUPnRaknXQjGqWaOEIiodGNvXIOEFL3FXQzEuh16kmpqYVK9G7NUbsnN5ubnEXr1BRfuXf2/R0NaiQkUT8nJyeXAmBCsPxVujlkU0NDUxrW5D9BV5L9FXb2BW6+X1QENbC70CL/fOXMC6QfnxAvluKipw8+jKDcwdiu/m7pkLWNcvX26e3U8xL9xPMVduULFW8e+n+2dDsCpnbgSqRYwsEagcV1dXBgwYwOLFi5Wm+d///sfIkSNp0KABTZs2ZePGjVy6dIkaNZ4/HKZPn87XX3+NsbExHTt2JCMjg3PnzpGYmMiYMWOKHU+tWrXYtm0bXbt2RSKR4OvrS25u7kuv0dHRKbFpN3paGthVfL7ThI1JBZwtDEhKy+ZBcjrjW9tjaajDmB35U2yGNarG3aQ0bsamyNYsaWpXkUHrzpdI/KpET0uKnXEhN0a6OJvrk5SezYOUDMZ7VsdCX5uxB/MfrsPcrLmbnM7NhFR0NKT0c7aiaVUTBu24VFIfQSVU0JRSzfC5F2sDHWqb6vM4M5tHqRl8U8+OynraTD5+E4B+ta14mJpBxOP86Vv1LYwZ4mzNuusPSiR+VVJBQ4q1/nM3Vnq62Bvp8yQrm+i0DD5zsqVSBR1+OJ/vpr11JSZ71GLR5dtcS3xCRZ38hfQycnJJzc4pkc+gKnLT08mMjZG9zoqPJf1uFBr6+mhVNCPm761kJyVRZchwWZr0u/nTF/MyMsh58oT0u1FINDXRsaqi9vhVSU56Omkxz0dZZcTFkRJ1F019fXTNKhKx9S8yE5OoPSJ/3S2rVl48OHSYiM1bsWjejKTQ68SeDabON2V/XazCZKen8zT6uZe0uDiS79xFy0CfCmYVubn5LzISk3D9NN+LTeuW3D14mBsbt2LdohkJodeJPhOMx7dfltRHUCk1P2zD+d9XYVrdFtOatoTv+5ecjAyqeXkCELw0AF1TE1w+7gFAwq0I0hOTMLa1IS0hievbdpOXl4t9l/Yl+CnePY6d23Lqt1VUrFGNivZ23Nx7iOyMDGp4NQHg1K+BVDA1wa1/dwDib0XwNOExprZVeZqYxJUtu8nLy8Opa/nyAvluTha4MbO348YeeTcnfglEr6IJ7gVu4sIiSEsscJOQxOUCN87dyp+bWh+24Vyh++lWwf1kW3A/nfst/36q068HkH8/pSUmYVJwP4Vu201ebi4O5ex+UiViZInoLBGoie+//56NGzcqfX/AgAHcvn2bcePGkZ6eTt++ffH29ubMmTOyNCNGjEBPT485c+bw3Xffoa+vj6urK6NHj36tWObPn8+wYcNo2rQp5ubmTJgwgeQXhkuXJupWMWLjoOfrsEz9IH8l8M0XHzBu51UqG+hQxVhX9r6WhoQp7RywNNQhLSuH6zEpDFgbzMk75e8X8bqVDdnQ01322reFPQBbQh8xLugGlfW0sTYs5EYqZXKzmlgaaJOWncv1uFQG/n2Jk/eT1By5anExM2Rlh+e/nIxvWBOAv29FM+XETSpV0MZK/3nnn1Qi4Zt6dlgb6JKTl8fdJ+ksOB/J5psP1R67qnE0MWRJc1fZ669d8ztk90RF8+OFMMx0tbGo8NxNNztLNKVSxrrZM9bNXnb+WfryRFpUJHcXzZW9jtm6CQCjxk2pMngY2Y8fk5Uov+Vy5E/fy/6dHnWH5HOn0axohv2MWeoJWk08ibzD5TnzZa9vb9wMQOWmntQe7k1m0mMyEhJk7+tWMsflm6+4vWEz9w8eQsfUBIchgzCt46L22FVJcsQdzs5aIHt9Y/0WAKo0a4LrSG8ykh6TFv/ci14lczy+/ZLr67dw58C/+R0FQwdi7lq+vDyjapMGZCanELp1FxmPkzG2rYrn+K9k0waexiWC5PkIvtysLEI37yQ1Ng5NHR0s3F2o/8UQtPX1SuojqIRqnvVJT37C5S27SE96gomtNa0mfimbapIalwiS53+l5WRmc3nTTlJi8r1UqeeC56jy5wXAtmm+m0ub892Y2lrTeuKXsilKT+MSkRR2k5XNxY35brR0dbByd8Hzy/LppqpnAzKepHBty/P7qdmEQvdTvPz9lJOVxbVNz+8nS3cXGpTD+0mgWiR5eXlimVtBqaR9+/ZYWlqyevXqkg5FKbY/HCjpEEold6a0x+7nIyUdRqkj8isvXFcdLekwSiWXB7eg+d/HSjqMUsmx7s3pflDUG0X83a4FI44dLukwSh3Lmrfi65P/lnQYpZLFnq2ZcDaopMMolcxq2Ba/8wdLOoxSyXSPdky/INwowq9eO3zOiXvqRfwbtC3pEN6aeZdV+3fOWNfSP8pHTEgXlAqePn3K/PnzuXr1KtevX8fPz4+DBw/KbQn8pgQEBGBiYvL2QQoEAoFAIBAIBAKB4L1AjCwRvDHe3t4EBgYCoKmpSdWqVenTpw/ff/89urq6r7hanrS0NLp27cqFCxdIT0+ndu3aTJkyhV69er11nAEBAYwePZqkpKS3zqukWLt2LcuXLyc2NhZHR0d8fX2pW1fxAlX79+9n6dKlREVFkZ2dja2tLUOHDqVHjx7qDVpNCDfKEW4UI7woR7hRjnCjnNdxs2nTJrZv305YWP40NhcXF8aMGaM0fVlHuFGM8KIc4UY5wo16WXBFtSNLvq1T+keWiM4SwRvj7e1NdHQ0K1euJCsri+DgYIYMGcLnn3/OrFmlZ766KjtL4tN3vPM8X+TgvhBmTNnAd1N64+JajY1rj/Lv/kus/3s8Fc0MiqQ/fzacJ8lPsa1eGU0tDY7/F8rP83YxZ8kwmjSrrfJ4Acx0u5GQoR4330/ewHjfAjdrjnJo/yU27FDuJjn5KXbP3BwJZcm8Xcz9WT1uKup0IzFjl8rLATiw7wLfT17PBN+PcHGtxoY1Rzm0/yIbd0ygoplhkfTBZ2/xJDkN2+qV0dLS4PiRayyet5N5Pw+nSTNHlcdrqtNFLW7KmhfId5OUuUfl5RzYd4Hpk9YywbcPLnVt2bD6CIf2X2TTTp+XuHmKbXULtLQ0OHbkKovn7mD+LyPV5sZEuxOPM/epvJwD+84zbdIaJvr2xaWuHRtWHyZofwibd05W4iasoK2xQEtLk2NHrrBo7t/M/+VTPJs5qTxeY+2OavECr+/Gd8Iq3OpVp657dbS1tVi14iCHD11mw18TqWxhovJ48938o/Jy4Jmb1Uz0/Vh2TwXtv8DmnVOUuAnErV6NF9xcYsNfPmpy00EtbsqaFxBuXoZwoxhj7Q4qL0PViM4SMQ1H8Jbo6OhgaWmJjY0NPXr0oF27dhw4kH9jffTRR3z11fOV/0ePHo1EIuH69fxtAzMzM9HX1+fgwfw5oPv27aN58+aYmJhgZmZGly5dCA8Pl10fGRmJRCJh27ZttG7dGj09Pdzc3IpsSRwQEEC1atXQ09OjZ8+exMfLL0gYHh5O9+7dsbCwwMDAgIYNG8piKI1sWP0f3Xo1pkuPhlSvacH4Kb3Q0dVi1/YzCtN7NKyJV1tX7GpYUNXGnI8HtKBmLSsuXYhQc+SqZ/2q/+jWu5Ab317oVHi5m1aF3QzMd3OxnLrp3rsJXXo0onpNSyb49kb3JW7qN7SnVVtXqsvctCyXboQX5axfdZjuvT3p2rMxNWpaMnFqH3QraLPzr9MK0+e7qStz02+gF/YOVoScv63myFXPulWH6dG7KV17Nilw07fAzSmF6es3rEXrtm5Ur2FZ4KYV9g5VuCjcMGPWYD7q1wIHx6rY1bBg8vT+5OXmcvb0TTVHrnrWrfq3kBurYrgZ8l64EV6UI9woR7hRP1JJnkqPsoDoLBG8M65cucKJEyfQ1tYGwMvLi8OHD8veP3LkCObm5rJzZ8+eJSsri6ZNmwKQmprKmDFjOHfuHEFBQUilUnr27FlkW9/Jkyczbtw4QkJCcHBwoH///mRnZwNw+vRphg8fzldffUVISAitW7fmhx9+kLs+JSWFTp06ERQUxIULF+jYsSNdu3YlKipKRWbenKysbG6E3qdBk1qyc1KplIZNanHl0p1XXp+Xl8e502FERcbgXr/GK9OXJZ65afiim8a1uHKxeG7Onsp3U69curmnwI0Dl4vt5iZRkbHlqt4IL8rJysrm+rV7NGriIDv3rK15HTd3ImOpV7+mKkNVO/lu7tKwiBsHLl+MfOX1eXl5nDl1gzuRMcKNAtLTM8nOzsXIuHztUPHczfNRi/luanP5YvE6W8ujG+FFOcKNcoSbkkEqUe1RFhBbBwveil27dmFgYEB2djYZGRlIpVJ+/vlnAFq1asU333xDbGwsmpqaXLt2DV9fXw4fPsznn3/O4cOHadiwIXp6+Y1W79695fJesWIFlSpV4tq1a9SpU0d2fty4cXTu3BmA6dOn4+Liwq1bt3B0dGTRokV07NiR8ePHA+Dg4MCJEyfYt+/5cGQ3Nzfc3Nxkr2fMmMFff/3Fjh075EbClAaSElPJycktMqWkopkBdyJilF6X8iSN7u1/IDMrGw2plHGTetLI00Fp+rLI27jp1q6Qm8nl2Y38sFRTMwMiX+Gma7vvZW6+m9yLxp7qmbqlDoQX5ShzU9HM8JX3U5e20567mfIRjZsKN5DvpnPbqTI346f0oXFT9UxPUhdv6qYwPy/YgXklIxo1eZ/qTXSx8iiPboQX5Qg3yhFuBCWF6CwRvBWtW7fmt99+IzU1lQULFqCpqSnr9KhTpw4VK1bkyJEjaGtrU69ePbp06cIvv/wC5I80adWqlSyvsLAwpk6dyunTp4mLi5ONKImKipLrLCm8MJOVlRUAMTExODo6EhoaSs+ePeVi9PT0lOssSUlJYdq0aezevZuHDx+SnZ1NWlraS0eWZGRkkJGRIXdOR0fndVSpFT19HQI3fcvTpxmcO32LxfN2UqWqGR4Ny9evmm+Cnr4OgZu/Je2Zm7k7sRZugHw3qzaPJe1pBmdPh7Fo7g6qVDWjfkP7kg6tRBFelKOnr8PqLeNIe5rJ2dM3WTRnO9bCDZDvZs2W8QX15iYLZW5qvfri94TAZQc4sPcCv634Ch0drZIOp1SR7+Y8v634n3BTCOFFOcKNcoSbN0OjpAMoBYjOEsFboa+vj719/pfiFStW4ObmxvLlyxk+fDgSiYSWLVty+PBhdHR0aNWqFXXr1iUjI0M2ZWfcuHGyvLp27YqtrS1//vknVapUITc3lzp16pCZmSlXppbW80ZOIskfw/XiVJ2XMW7cOA4cOMDcuXOxt7enQoUKfPTRR0XKKYy/vz/Tp0+XO+fn58f/JnoUu9w3wcRUHw0NKQnxKXLnE+JTqGhedDGrZ0ilUqpWMwfAwdGaOxExrFp+qFx1CLzMjdkr3NgUchN5uzy7eSJ3PvG13USzanlQufnDV3hRjjI3CfFPqGhmpPS6fDeVgOduApcdfG/cmClYVPAZ8m6qEnE7moBlB8tVZ8mbugFYE3CIwBVB/PznKGrVtlZlmCXC27kJInDFQX7+88ty50Z4UY5woxzhRlBSiDVLBO8MqVTKpEmTmDJlCmlpacDzdUsOHz5Mq1atkEqltGzZkjlz5pCRkUGzZs0AiI+P58aNG0yZMoW2bdvi5OREYmLia8fg5OTE6dPyixGeOiW/8NPx48fx9vamZ8+euLq6YmlpSWRk5Evz9fHx4fHjx3KHj4/Pa8f3umhpaVLbyZrg07dk53Jzczl3+hZ16toWO5/c3DyysrJVEWKJ8czNOUVu3F7DTV4emZnl0U1Vzp4Ok53Lzc3l7OkwXF/DTV5eHpmZOaoIsUQQXpSjpaWJo3NVuYXvcnNzOXvq9dzk5uaRVQ7vJ0dnmyJuzp26iaubXbHzyRNuZKxaEcTy3/9h0W+f4+xSTQ2Rqh/lbm7g6lZd6XWrVhws126EF+UIN8oRbkoGsWaJ6CwRvGP69OmDhoaGbKpNq1atuHbtGlevXqV58+ayc2vXrqVBgwbo6+sDYGpqipmZGX/88Qe3bt3i0KFDjBkz5rXL//rrr9m3bx9z584lLCyMn3/+WW4KDkCtWrXYtm0bISEhXLx4kU8++eSVI1N0dHQwMjKSO9Q1DaffoJbs2HaaPTvOEXk7mjk/bCM9LZMuPRoC8P3k9fy26Pm2oquWH+LMyZvcvxdP5O1o1gUeYd/uYDp0Vu0omJKg/+CW7Nh6mt1/57uZ/YKb6ZPW82shN4HLFLjZFUzHcu3mLBG3o5n9w1bS0zLp3KMRANMnrePXRbtl6QOXBXH65A3u34sn4nY0awMPs7ccuhFelNN/cCv+3nqK3X+fIeJ2NLNmbCm4nxoDMG3SWn5Z+Hx754BlBzl94gb378YVuPmXvbvO0bFLg5L6CCrjk8Gt+HvrSXb9fYaI24+YNWMzaYXc+E1awy8Ld8rSByw7wOkT1wvcPGJt4CH27Dor3ACByw/y+8+78f2+P1bWFYmLSyYuLpmnTzOUFVFm+WRwa/7eeoJdf58ucLPpBTer+WXhDln6wOUHCtx8gpW1Wbl1I7woR7hRjnAjKAnENBzBO0VTU5OvvvqK2bNn88UXX+Dq6oqJiQkODg4YGOQvxNmqVStycnLk1iuRSqVs2LCBr7/+mjp16lC7dm0WL14sl6Y4NGnShD///BM/Pz+mTp1Ku3btmDJlCjNmzJClmT9/PsOGDaNp06aYm5szYcIEkpOT38XHVwntOrqTlJjKn7/+Q0LcE2rVrsL8X0fIFrmKfpSEtFD3bFpaJnN//IuY6CR0dLSwrV4Zv5n9adfRvYQ+gepo19GdxMRUlv36D/EFbhb8ptxNelomc2bKu5n2Y/l0075jPVm9iY9LplZtaxb8NlI2XPXRoyQkL9SbOTO3ESvn5hPad6xXUh9BJQgvymnfsR5JCSn88cs+4uOScXC0ZuHSz2RTlKIfJiKVFLqfnmYye+YWYqMfy9xM9x9YTt14kJiQwh+/7ClwU5VFSz/HzDx/itKLbtKeZjJ75mZiCrn53n8Q7TuWv06213WzbdNxsrJymDhmpVw+I77oyKejPlRr7KpGsZsviuFmhVw++W46qTV2VSK8KEe4UY5wo37Kyva+qkSSl5cnLAgEb0h8+o5XJ3oPMdPtRkKGcPMiFXW6kZix69UJ30NMdboIN0ow1elCUuaeVyd8DzHR7sTjzH2vTvieYazdUXhRQr6bf0o6jFKJsXYH4UYJwo1yhBvFGGt3KOkQ3po/rqv2//VTx9LvSIwsEQgEAoFAIBAIBAKBQCBDo4ysK6JKxJolAoVERkYikUgICQl553lLJBK2b9/+zvJr1aoVo0ePfmf5CQQCgUAgEAgEAoHg/aZMTMOJjY1l6tSp7N69m+joaExNTXFzc2Pq1Kmy3VTeNa1ateLIkSNK33+2y0t5JTIykurVq3PhwgXc3d0VpinsSEdHhxo1avDVV18xatSol+b96NEjTE1N39kCqQkJCWhpaWFo+PKtw8oya9euZfny5cTGxuLo6Iivry9169ZVmn7v3r0sWrSI+/fvY2dnx7hx4/Dy8lJjxOrjddyEhYWxePFirl69yv379/Hx8cHb21u9AasR4UYxwotyhBvliHZYOaLeKEfUG8UIL8oRbpQj3KiXlTdVOw1nqIOYhvNO6N27N5mZmQQGBlKjRg2io6MJCgoiPj5eZWVu27aNzMxMAO7evUujRo04ePAgLi4uAGhra6us7LLEyJEj+f7773n69CmrVq3iyy+/xNTUlP79+xdJm5mZiba2NpaWlu80hooVK77T/F6HPG6ovIw9e47i77+AadNH4ebmQGDgDoYP92bvvt8wMzMpkv78+VDGjvVhzJjBtGrdkF07j/Dll6PYum0BDg7F3wL0bZBQm8zcYJWXs2/PSfz9f8N32jDq1rVn9aq9DBs+hJ175mFmZlwk/ZOn4VSpqkW7D3oy+6c15OTdU0ucz9CW1ic959SrE74D9u09jb//H0zxG4Jr3ZqsXf0Pw4YP4e/dszAzMyqS/nHqbaysNWjzQTfm/rSO7Lw7aosVQFejCVm5ISovZ++eE/j7/8LUaSOoW7cWq1ftYfhwb3buWaCkztyiSlUd2n3Qm9k/rSI3775a4iyMltSdzNxzKi8n/35aWnA/1WT1qn0F99PcYt5Pd9USZ2G0pQ3Izbuq8nL27DmGv/9ipk37jLpuDqwK3MXw4d7s2btEYTt84fx1xo6dwrdjBtKqVQN27fqPL78cxZatc9TSDkslLuTkXVJ5OQB79xzH3/9n/KZ9Sl03e1YH7mb4cG92712ksN6kpt3CuqoOH3Tow08/BZDHQ7XFCqAhqQvcfGW6d0H+83s+06d/Kff83rdv6Uue3xMZM2YIrVs3ZGfB83vbtoVqen47oA43Zc8LCDcvQ7hRjIMayhComlI/DScpKYmjR48ya9YsWrduja2tLY0aNcLHx4du3brJ0s2fPx9XV1f09fWxsbFh1KhRpKSkyOW1detWXFxc0NHRwc7Ojnnz5iktt2LFilhaWmJpaUmlSpUAMDMzk537999/X5qXnZ0dP/zwA4MHD8bAwABbW1t27NhBbGws3bt3x8DAgLp163LunPwXy2PHjtGiRQsqVKiAjY0NX3/9NampqUrjDA8Pp3v37lhYWGBgYEDDhg05ePBgkVh+/PFHhg0bhqGhIdWqVeOPP/6QS3PmzBnq1auHrq4uDRo04MKFC0rLLIyenh6WlpbUqFGDadOmUatWLXbsyF/Ys1WrVnz11VeMHj0ac3NzOnTI7z0sPA3n2XSfbdu20bp1a/T09HBzc+PkyZNy5Rw/fpxWrVqhp6eHqakpHTp0IDExUVZO4Wk4dnZ2zJgxg/79+6Ovr4+1tbVsK+NnJCUlMWLECCpVqoSRkRFt2rTh4sWLxfrM6iZg5d/06fsBvXu3w96+GtOnj0JXV4etWw8qTL961U6at/Bg+Ihe1KxpwzejB+LsXIO1a3YrTF+WWRW4h959WtOzVytq2ldl6rThVNDV4a9tikeF1XGtydjvBvBh56Zoa5eJvuI3ZnXAPnr18aJHr5bUtLdmip83urrabN/2n8L0dVxrMOa7fnzYqQna2lpqjlZ9rArczUd92tKzV+uCOjMCXV1t/tr2r8L0rq72jPtuIJ06NyvXXgBWBe4tuJ+8CtwMK8b99AkfdvYs9/dTYMBO+vRpT6/ebbG3t2Ha9M/Q1dVh29ZDCtOvWr2L5s3rMXx4D2rWrMo333yCk3N11q3dq+bIVU9AwC769GlLr96tsbe3wW/6p+jqait14+pqz3fjB+ffU1rl+55auXI7fft2UPD8PqAw/apVO2jRwoMRBc/v0aMH4uxckzVrytfi18KLcoQb5Qg36kcqUe1RFij1nSUGBgYYGBiwfft2MjKU74stlUplwzoDAwM5dOgQ48ePl70fHBxM37596devH5cvX2batGn4+voSEBDw2jEVN68FCxbQrFkzLly4QOfOnRk0aBCDBw9m4MCBnD9/npo1azJ48GCezYQKDw+nY8eO9O7dm0uXLrFx40aOHTvGV199pTSWlJQUOnXqRFBQEBcuXKBjx4507dqVqKgouXTz5s2TdYKMGjWKL774ghs3bsjy6NKlC87OzgQHBzNt2jTGjRv32l4AKlSoIBuRAxAYGIi2tjbHjx9n6dKlSq+bPHky48aNIyQkBAcHB/r37092djYAISEhtG3bFmdnZ06ePMmxY8fo2rUrOTk5SvObM2cObm5uXLhwgYkTJ/LNN99w4MDzxrRPnz7ExMSwd+9egoOD8fDwoG3btiQkJLzR51YVmZlZXL16i6ZN3WXnpFIpnk3dCLlwXeE1ISHXaerpJneuWXMPQkIUpy+rZGVmc+1qBE0868jOSaVSmnjW4WJIWAlGVvJkZWYTei2SJk1cZOfy3bhwKeRWCUZWsuTXmds08XSVncv34irqjLiflJLfDofj2fT5UG+pVIqnZ11CQhSPLrwYclMuPUDzZvWUpi+rZGZm5d9TCt2oZ/RGaeX58/v581gqldK0qTsXLiiuByEh1/H0dJc717x5vXL1/BZelCPcKEe4EZQUpf6nIE1NTQICAhg5ciRLly7Fw8MDLy8v+vXrJzdH7cWRBT/88AOff/45v/76K5A/8qRt27b4+voC4ODgwLVr15gzZ85rz5Utbl6dOnXis88+A2Dq1Kn89ttvNGzYkD59+gAwYcIEPD09iY6OxtLSEn9/fwYMGCD7LLVq1WLx4sV4eXnx22+/oaurWyQWNzc33NyeNxwzZszgr7/+YseOHXKdLJ06dZKtJTJhwgQWLFjAv//+S+3atVm3bh25ubksX74cXV1dXFxcuHfvHl988UWxneTk5LB+/XouXbrEp59+Kjtfq1YtZs+e/crrx40bR+fOnQGYPn06Li4u3Lp1C0dHR2bPnk2DBg1k/5eAbDqUMpo1a8bEiROB/P+f48ePs2DBAtq3b8+xY8c4c+YMMTExsnVT5s6dy/bt29myZYtc/CVNYmIyOTm5RYYXmpuZEHH7vsJr4uKSMDMvmj4uLlFFUZYMiUlPCtzID/M2MzMmIuJBCUVVOpC5MVfg5vbDEoqq5ElMShZ1RgnK7yej995NUuIThe2wmbkJERHK22HzIumNiYtLUk2QJcQzN+Yv1htzY24rcfO+8Pz5bSp33szMhNu37ym8Ji4uCfMXnt9mZiblqt4IL8oRbpQj3JQMZWX0hyop9SNLIH/NkgcPHrBjxw46duzI4cOH8fDwkBvJcfDgQdq2bYu1tTWGhoYMGjSI+Ph4nj59CkBoaGiRxWCbNWtGWFjYS0coKKK4eRXuzLGwsADA1dW1yLmYmBgALl68SEBAgGw0jYGBAR06dCA3N5eIiAiFsaSkpDBu3DicnJwwMTHBwMCA0NDQIiNLCscikUiwtLSUlRsaGkrdunXlOmM8PT2L5eLXX3/FwMCAChUqMHLkSL799lu5Tpb69esXK5/C8VlZWQHPvTwbWfI6vBi/p6cnoaGhQL7nlJQUzMzM5FxHREQQHh6uML+MjAySk5PljpeNdBIIBAKBQCAQCAQCQdml1I8seYauri7t27enffv2+Pr6MmLECPz8/PD29iYyMpIuXbrwxRdfMHPmTCpWrMixY8cYPnw4mZmZ6OnplUjMWoXm4kokEqXncnNzgfyOj88++4yvv/66SF7VqlVTWMa4ceM4cOAAc+fOxd7engoVKvDRRx/JTYV5sdxnZT8r920YMGAAkydPpkKFClhZWSGVyve/6evrFyufl3mpUKHCW8dZmJSUFKysrBTuZmRiYqLwGn9/f6ZPny53zs/PD79pRReyfZeYmhqhoSElPj5J7nxcfNHe8meYm5sQH6covanC9GUVUxPDAjeP5c7Hxz8uMrLmfUPmJq6oG3Pzogsuvi+YmhgprTPK7qf3BeX3U3KREUrvGyamhgrb4XgFv1o+w9zchLgi6ctfPXvmJu7FelMOP+vr8vz5LT+qM/4lz2Nz86K/ese/5HlfFhFelCPcKEe4KRk0JKV+01yVUyZGlijC2dlZtvBpcHAwubm5zJs3jyZNmuDg4MCDB/LDhp2cnDh+/LjcuePHj+Pg4ICGhsZrlf0u8yqMh4cH165dw97evsihbPed48eP4+3tTc+ePXF1dcXS0pLIyMjXKtfJyYlLly6Rnp4uO3fqVPF2wTA2Nsbe3h5ra+siHSXvirp16xIUFPRa17wY/6lTp3BycgLyPT969AhNTc0ins3NzRXm5+Pjw+PHj+UOHx+fN/tAr4G2thYuLvacPPl88dnc3FxOnbyEez1Hhde4uzty8pT8zgInToTg7q44fVlFS1sTZ5fqnD71fCeM3NxcTp26ipt7rRKMrOTR0tbEydmO06euyc7l5uZy+tQ16rrbl2BkJUt+nanB6VOXZefyvVwRdUbp/STc5LfDNTl18nm7mu/mEu7utRVe4+buwKmTl+XOnThxUWn6soq2thbOLjXkPmu+m8u4u7/fO0E8f37L15uTJy9Sr57ieuDu7sipU/KLzZe357fwohzhRjnCjaCkKPWdJfHx8bRp04Y1a9Zw6dIlIiIi2Lx5M7Nnz6Z79+4A2Nvbk5WVxZIlS7h9+zarV68uspjo2LFjCQoKYsaMGdy8eZPAwEB+/vnnN1rI9F3mVZgJEyZw4sQJvvrqK0JCQggLC+Pvv/9+6QKvtWrVYtu2bYSEhHDx4kU++eST1x4x8sknnyCRSBg5ciTXrl1jz549zJ07960+y7vEx8eHs2fPMmrUKC5dusT169f57bffiIuLU3rN8ePHmT17Njdv3uSXX35h8+bNfPPNNwC0a9cOT09PevTowf79+4mMjOTEiRNMnjy5yO5Ez9DR0cHIyEjueLbeiarxHtqdzZv289dfQYSH32XatN9IS0unV6/8qUkTxi9g3rxAWfpBg7ty7Oh5Vqz4i9vh91iyZB1Xr9xiwMDOaolXnQwe0omtm//l7+3/cTv8PjOmryAtLZ0ePb0AmDThVxbO3yBLn5WZzfXQSK6HRpKVlU1MTALXQyOJuvOopD6Cyhjk3ZFtW46wY/sxboc/4IfpgaSlZdCjZwsAJk/8nUXzN8nS57u5w/XQO/luohO5HnqHqDvRJfURVMLgIZ3ZsvkQf28/Qnj4PWZMX1bgpRUAPhN+ZsH8dbL0L9aZ6JjEcltnBg/58IX7aWWBm2f302+vuJ/Kr5sh3l3ZvPkg2//6l/Dwe0yf9jtpaRn07NUGgAkTFjF/3hpZ+sGDunDs2AVWrvib27fv8fOSDVy9Gs4nAz4sqY+gMry9u7BlcxDb/zpc4ObPAjetAZg4YQnz562Vpc/MzCI0NILQ0Ij8eyo6ntDQCO7cKX/rKQ0d2oNNm/4p9Pz+teD53Q6A8ePnyz2/Bw/uxtGC53d4+F2WLFnHlSu3GDiwS0l9BJUgvChHuFGOcKN+pCo+ygKlfhqOgYEBjRs3ZsGCBYSHh5OVlYWNjQ0jR45k0qRJQP4ip/Pnz2fWrFn4+PjQsmVL/P39GTx4sCwfDw8PNm3axNSpU5kxYwZWVlZ8//33r72467vOqzB169blyJEjTJ48mRYtWpCXl0fNmjX5+OOPlV4zf/58hg0bRtOmTTE3N2fChAkkJye/VrkGBgbs3LmTzz//nHr16uHs7MysWbPo3bv3W32ed4WDgwP79+9n0qRJNGrUiAoVKtC4cWP691c+BWbs2LGcO3eO6dOnY2RkxPz58+W2Lt6zZw+TJ09m6NChxMbGYmlpScuWLWXryJQmOnVqQULCY5YsXkdsbCJOTjX4c9k02bDDBw9jkRRagcnDw4m5c8eycOFaFsxfjZ1dFX7+ZZKa9pRXLx07eZKQmMwvi7cQF5eEo5MtS/+YKJtq8vBhPJJCI55iYhPp02uS7HXAit0ErNhNg4ZOrFzlq/b4VUnHDxuTmJDMr0u2ERf3mNqO1fj193GyKRWPHibIjQaLiU3k495TZa8DV+4lcOVeGjR0ZHmg6kdRqYsPOzUlMTGZnxdvKqgzdiz9w0c2LPfhw/gXvCTwUa8JstcBK3YSsGInDRo6E7DKT93hq5T8++lJwf30uOB+mvDC/fS8rcm/nybLXsvfT1PUHr8q6dSpOYkJySxesp642CScnKrzx5++z+vNgzikkuf1pp6HI3PmfsuihetYsGAttnZWLPl5Qrlshz/s1IyEhGSWLNlIXGz+PfX7n5NfcPO83sTGJNK75/PdCleu2MnKFTtp2NCZwNXTX8y+TPPs+b148VrZ83vZsumy5/fDh7FIizy/x7Fw4Rrmz1+FnV0VfvllcrmrN8KLcoQb5Qg36kcs8AqSvGf71goE5QQ7OztGjx4tt0OSqsijfG0D+a6QUJvM3OCSDqPUoS2tT3pO8aa4vW/oajQhKzekpMMolWhJ3cnMVTzq7X1HW9qA3Lyrr074niGVuJCTd+nVCd9DNCR1gfd7W2PlOCDcKEO4UY5wo5iyPxVx0+19Ks2/b42OKs3/XVBWRsAIBCqlVatWaulcEQgEAoFAIBAIBILSjlSi2qMsUOqn4QhKL7GxsUydOpXdu3cTHR2Nqakpbm5uTJ06tcjWyuUVCepZrG/t2rUsX76c2NhYHB0d8fX1ldtuuTD79+9n6dKlREVFkZ2dja2tLUOHDqVHjx5qifUZ2tLibRv9tpQ1N7oaTdRWVllzoyV1V0s5Zc0L5I+gUAdl0Y1U4qKWcsqam/wRFOqhrLlR5y++wo1iyp4XEG5ehnAjKJ+IzhLBG9O7d28yMzMJDAykRo0aREdHExQURHx8fInG9bq7Ab0N0Wk7VF5G0D8h+PtvYOzk3ji7VmPz2qMMHTaYtX+Px7SiQZH0ubrh9B9en2p2H6KlpcGJ/0KZNMkHDcMwGjVVT+eORYVuxKSrwc2+AjdT5N2s+3s8pmZF3eRVCOeT4fWpVr2om8bNVO+msm43YtXgBZ67GVfgZlOBm/WvcGNb4OZ4gRtNNbmppNuNeDW4OVjg5bspvXFxrcbGtUcZVuClogIvkgrhDCzwolnIi5ZhGE3U4AXATLcbCRnqczPet8DNmnw3G3YodiPVC2fgiPrYPXNzJN+NtpH63FTU6UZCxk6Vl5PvZr0SN4ZF0kv1bjFwRAPsqnd6wc0ttbipqNOVxIxdKi8H4MC+C/j7r2eC70e4uFZjQ4GbjTsmKHUzaERDbKt3zm9rjlxj0iQfdIxu0aSZ6nepMNXpItwoQV1uypoXyHeTlLlH5eXku1nLBN8+uNS1ZcPqIwwbNphNO30UutHQv8XgkY2wrd4VLS0Njh25yqRJPuga31abGxPtTsKNAky0O6m8DFUjtg4W03AEb0hSUhJHjx5l1qxZtG7dGltbWxo1aoSPjw/dunWTpRkxYgSVKlXCyMiINm3acPHi8y28pk2bhru7O6tXr8bOzg5jY2P69evHkydPZGlyc3Px9/enevXqVKhQATc3N7Zs2SIXy44dO6hVqxa6urq0bt2awMBAJBIJSUlJQP6OSv3798fa2ho9PT1cXV1Zv3696iW9Izat/o8uvRrTqUdD7GpaMHZKL3R1tdi9/YzC9PUa1qRlG1fsalhgbWNOnwEtqFHLiksXItQcuerZuPo/uvZqTOceDale04JxxXHTtqiby+XQzYYX3HxX4GaXEjceDWviVchN3wEtqFkO682G1f/RrVdjuhR4GT+lFzrF9FLVxpyPy6kXgPWr/qNb70JufHuhU+HlbloVdjMw383FcunmSIGbRlSvacl4394Fbs4qTO/R0P49cvMf3Xs3kbmZ4Nsb3ZfUm/oFbqrL3LQUbgp4X9wIL8pZv+ow3Xt70rVnY2rUtGTi1D7oVtBm51+nFabPd1NX5qbfQC/sHawIOX9bzZGrHuFGUBKIzhLBG2FgYICBgQHbt28nIyNDYZo+ffoQExPD3r17CQ4OxsPDg7Zt25KQkCBLEx4ezvbt29m1axe7du3iyJEj/PTTT7L3/f39WbVqFUuXLuXq1at8++23DBw4kCNHjgAQERHBRx99RI8ePbh48SKfffYZkydPlosjPT2d+vXrs3v3bq5cucKnn37KoEGDOHNG8UO5NJGVlc3N0Ps0aFxLdk4qlVK/cS2uXrrzyuvz8vIIPh3G3cgY3DxqqDJUtfPMTf0m8m4aNCm+m3PP3NQvn24avKWbqMgY3MuRm6ysbG4o8NKwSS2uvMde4Lmbhi+6aVyLKxeL5+bsqXw39cqtm+fDzIWbfPLd3FNQbxy4XGw3N4mKjC2n95Rw8yLCi3KysrK5fu0ejV5sa5rUei03dyJjqVe/pipDVTvCTckg1iwR03AEb4impiYBAQGMHDmSpUuX4uHhgZeXF/369aNu3bocO3aMM2fOEBMTg46ODgBz585l+/btbNmyhU8//RTIHzkSEBCAoWH+8LlBgwYRFBTEzJkzycjI4Mcff+TgwYN4enoCUKNGDY4dO8bvv/+Ol5cXv//+O7Vr12bOnDkA1K5dmytXrjBz5kxZrNbW1owbN072+n//+x///PMPmzZtolGjRmrx9aY8TkwlJye3yLSJimYGREXGKL0u5UkavT/4gcysbDSkUr6d1JOGnmV/Ve7CPHPz4vQAUzMD7kS83E2v9s/djHmP3FQshpue5dhN0lt46V7Iy7hJPWlUjrzA27np1q6Qm8nvkxvDYriZUchNr3LsRn4IvKmZAZGvcNO13fcyN99N7kVjT/VM3VIXwo1ihBflKHNTnLamS9tpz91M+YjGapp2rS6EG0FJITpLBG9M79696dy5M0ePHuXUqVPs3buX2bNns2zZMlJTU0lJScHMzEzumrS0NMLDw2Wv7ezsZB0lAFZWVsTE5Dd6t27d4unTp7Rv314uj8zMTOrVqwfAjRs3aNiwodz7L3aA5OTk8OOPP7Jp0ybu379PZmYmGRkZ6OnpFfuzZmRkFBlB86wTqDSip6/D8o3fkvY0g+Azt/hl7k6qWJtRr6HoTdfT12HFpgI3p2/x87ydVKkq3EC+m5UFbs4VcuPxnrvR09chcNO3PC3wslh4kaGnr0Pg5ud1ZvHcnVgLN8AzN2MK3ISxeO4OrKtWxKOhfUmHVuLo6euwavNY0p5mcPZ0GIvm7qBKVTPqCzfCjRKEF+Xo6euwess40p5mcvb0TRbN2Y61cAMIN29LWRn9oUpEZ4ngrdDV1aV9+/a0b98eX19fRowYgZ+fH6NGjcLKyorDhw8XucbExET2by0tLbn3JBIJubm5AKSkpACwe/durK2t5dK9TkfFnDlzWLRoEQsXLsTV1RV9fX1Gjx5NZmZmsfPw9/dn+vTpcuf8/Pz4YoJHsfN4E4xN9dHQkJIYnyJ3PiE+hYrmRRezeoZUKqVqNXMAajlacycihjUrDpWrDoFnbhJecJMYn4LZa7iJjIhh9fL3w03Ca7q5ExHDmuWHys0fviYv8VLc+8mhwMuqcuQFXu7mVXXGppCbyNvvk5snmJkbKb1OuZvy8yX9uZsncueL0w7Lu4lm1fKgcvUHjHCjGOFFOcrcJMQ/oaLZq9qaSsBzN4HLDgo3vB9uBKpFrFkieKc4OzuTmpqKh4cHjx49QlNTE3t7e7nD3Ny82Hnp6OgQFRVVJA8bGxsgf9rNuXPn5K47e1Z+wb3jx4/TvXt3Bg4ciJubGzVq1ODmzZuv9bl8fHx4/Pix3OHj4/NaebwJWlqaODhZE3zmluxcbm4u58/cwqWubbHzycvNIyszWxUhlhgyN6fl3QSffgM3WcKNInJz88gsR260tDSprcDLudO3qPOaXspjnantZM05RW7cXsNNXh6Z5bCtyXcTJjsn3OST76YqZ19wc/Z0GK6v4SYvL4/MzBxVhFhiCDeKEV6Uo6WliaNzVc6efv4dNTc3l7OnXs9Nbjn9zifcqB+xZokYWSJ4Q+Lj4+nTpw/Dhg2jbt26GBoacu7cOWbPnk337t1p164dnp6e9OjRg9mzZ+Pg4MCDBw/YvXs3PXv2pEGDBq8sw9DQkHHjxvHtt9+Sm5tL8+bNefz4McePH8fIyIghQ4bw2WefMX/+fCZMmMDw4cMJCQkhICAAyB+lAlCrVi22bNnCiRMnMDU1Zf78+URHR+Ps7Fzsz6ujo6N4NEtasbN4Y/oOaom/70ZqO1fFqY4Nm9ceJS0tk07d86cfzZyyHvPKxnz2df4WZWuWH6K2c1WsbczIzMzm1LHr/LM7mLGTeqk+WDXz8aCW/Oi7EUeXAjdrCtz0yHfzw+R8N59/k+9m9fJDOBZ2c7TAzeTy56bfoJbMLORmU4GbzgVuZkxeTyUFbqrYmJGVmc3JAjfjypmbfoNa8kOBF+c6Nmxcc5T0tEy6FHj5vsDLFwVeVhWqM1mZ2Zw4ep19u4P5rpx5Aeg/uCUzpmzE0bkqLq42bHjBzfRJ66lkYcyoAjeByw7h5PKCm13BjC+XbryYMWVDgZtqxXAThJOLTSE3oQVuepfkx1AJ+fVmA07ONji7VmPjmv9IT8ukc4/8KbHTJ60rcNMZyHfj6FKVqjbmZBa42SvcAO+PG+FFOf0Ht+L7yetwcrHB2TV/e9z8tqYxANMmraVSZWO+HN0FgIBlB3FytqGqjRmZWTmcOHqNvbvOMWFKn5L8GCpBuBGUBKKzRPBGGBgY0LhxYxYsWEB4eDhZWVnY2NgwcuRIJk2ahEQiYc+ePUyePJmhQ4cSGxuLpaUlLVu2xMLCotjlzJgxg0qVKuHv78/t27cxMTHBw8ODSZMmAVC9enW2bNnC2LFjWbRoEZ6enkyePJkvvvhC1rkxZcoUbt++TYcOHdDT0+PTTz+lR48ePH78WCVu3jVtO7iTlJjKit/+ISHuCfa1qzD31xGyRa6iHybJOoYA0tIymf/jX8TGJKGjo0U1u8pMmdmfth3cS+gTqI62HfPdLP9ViZtHSUgKdV2nF7iJic53Y1u9Mr4z+9O2o3sJfQLV8czNskJu5r3gRiqVrzfzXnAztRy6aVfg5c8CL7VqV2H+K7zMfcGL38z+tCtnXiDfTWJBnYkvcLPgN+Vu0tMymTNT3s20H8uzm5SXuElU4GbbC24+KZdu2nesJ7un4uOSqVXbmgW/jcSswM2jF9rhtAI3sS+4ad+xXkl9BJUh3ChGeFFO+471SEpI4Y9f9hEfl4yDozULl34mm6IU/TARaaHvfOlPM5k9cwux0Y9lbqb7DxRueL/cqAqNMjL6Q5VI8vLy8ko6CIHgXTJz5kyWLl3K3bt3VV5WdNoOlZdRFrGo0I2YdOHmRSrrdiNWeFFIJd1uxAs3CjHT7UZChnCjiIo63UjI2FnSYZQ6Kup0JTFjV0mHUSox1eki3ChBuFGOqU4XkjL3lHQYpRIT7U7CjQJMtDuVdAhvzb57e1Waf8eqH6o0/3eBWLNEoHa8vb3p0aPHW+UREBAgWyj2119/ZeTIkTg7O7N69WrmzJnDkCFD3j5QgUAgEAgEAoFAIHgPkUryVHqUBcQ0nPeQ2NhYpk6dyu7du4mOjsbU1BQ3NzemTp1Ks2bNSjq81yYsLIwNGzaQmprKjBkzGDt2rFoWX4X8ERTqYO3atSxfvpzY2FgcHR3x9fWlbt26StPv3buXRYsWcf/+fezs7Bg3bhxeXl5qifUZlXWFG0VUUpMXKHtuzESdUUpFHeFGGRV1uqqlnLLmxlSni9rKEm6UI9wopqx5AfWNFBBulFMW3QjKNmIazntIy5YtyczMxN/fnxo1ahAdHU1QUBAuLi5066b6L+Te3t4kJSWxffv2N84jICCA0aNHk5SUBMC0adPYvn07ISEh7yTG4vN6u+q8CXv2HGX8+PlMn/4lbm4OBAbuYN++Y+zbtxQzM5Mi6c+fD2XgwImMGTOE1q0bsnPnEZYt28q2bQtxcCj+iuFvhwPCjSLU4wWEG2WUPS8g3LwM4UYxoq1RjnCjHHE/KUe4UY5woxgHNZShWg7eV+30qnbWpX+qkpiG856RlJTE0aNHmTVrFq1bt8bW1pZGjRrh4+Mj6yhJSkpixIgRVKpUCSMjI9q0acPFixcBiIyMRCqVFtmud+HChdja2pKbmwvA1atX6dKlC0ZGRhgaGtKiRQvCw8Plrpk7dy5WVlaYmZnx5ZdfkpWVJXsvIyODcePGYW1tjb6+Po0bN+bw4cOv9VmXLVuGk5MTurq6ODo68uuvv8rey8zM5KuvvsLKygpdXV1sbW3x9/d/rfzVxcqV2+nbtwO9e7fD3r4a06ePQldXh61bDyhMv2rVDlq08GDEiF7UrGnD6NEDcXauyZo15W8esnCjHOFGMcKLcoQb5Qg3yhFulCPcKEZ4UY5woxzhRv2IrYNFZ8l7h4GBAQYGBmzfvp2MjAyFafr06UNMTAx79+4lODgYDw8P2rZtS0JCAnZ2drRr146VK1fKXbNy5Uq8vb2RSqXcv3+fli1boqOjw6FDhwgODmbYsGFkZz/f1/zff/8lPDycf//9l8DAQAICAmRb/gJ89dVXnDx5kg0bNnDp0iX69OlDx44dCQsLK9bnXLt2LVOnTmXmzJmEhoby448/4uvrS2BgIACLFy9mx44dbNq0iRs3brB27Vrs7OxeT6YayMzM4urVWzRt6iY7J5VKadrUnQsXbii8JiTkOp6e7nLnmjevR0jIdVWGqnaEG+UIN4oRXpQj3ChHuFGOcKMc4UYxwotyhBvlCDeCkkJ0lrxnaGpqEhAQQGBgICYmJjRr1oxJkyZx6dIlAI4dO8aZM2fYvHkzDRo0oFatWsydOxcTExO2bNkCwIgRI1i/fr2ss+X8+fNcvnyZoUOHAvDLL79gbGzMhg0baNCgAQ4ODgwdOpTatWvL4jA1NeXnn3/G0dGRLl260LlzZ4KCggCIiopi5cqVbN68mRYtWlCzZk3GjRtH8+bNi3TSKMPPz4958+bRq1cvqlevTq9evfj222/5/fffZWXUqlWL5s2bY2trS/Pmzenfv/+7kfwOSUxMJicnFzMzU7nzZmYmxMUlKrwmLi4Jc3MTBemTVBRlySDcKEe4UYzwohzhRjnCjXKEG+UIN4oRXpQj3ChHuCkZNCSqPcoCorPkPaR37948ePCAHTt20LFjRw4fPoyHhwcBAQFcvHiRlJQUzMzMZKNQDAwMiIiIkE2j6dGjBxoaGvz1119A/vohrVu3lo3MCAkJoUWLFmhpaSmNwcXFBQ0NDdlrKysrYmJiALh8+TI5OTk4ODjIxXDkyJEiU3kUkZqaSnh4OMOHD5e7/ocffpBd7+3tTUhICLVr1+brr79m//79L80zIyOD5ORkuUPZyByBQCAQCAQCgUAgEJRtxG447ym6urq0b9+e9u3b4+vry4gRI/Dz82PUqFFYWVkpXB/k2Va92traDB48mJUrV9KrVy/WrVvHokWLZOkqVKjwyvJf7EiRSCSy9U5SUlLQ0NAgODhYrkMF8qcRvYqUlBQA/vzzTxo3biz33rP8PDw8iIiIYO/evRw8eJC+ffvSrl072eiZF/H392f69Oly5/z8/Jg27ZNXxvM2mJoaoaEhJT5evtc8Pj4Jc3NThdeYmxftNc9Pb6KiKEsG4UY5wo1ihBflCDfKEW6UI9woR7hRjPCiHOFGOcJNyVBWtvdVJWJkiQAAZ2dnUlNT8fDw4NGjR2hqamJvby93mJuby9KPGDGCgwcP8uuvv5KdnU2vXr1k79WtW5ejR4/KLdj6OtSrV4+cnBxiYmKKxGBpafnK6y0sLKhSpQq3b98ucn316tVl6YyMjPj444/5888/2bhxI1u3biUhIUFhnj4+Pjx+/FjuUMf2xNraWri42HPy5CXZudzcXE6evEi9erUVXuPu7sipUxflzp04EYK7u6NKY1U3wo1yhBvFCC/KEW6UI9woR7hRjnCjGOFFOcKNcoQbQUkhOkveM+Lj42nTpg1r1qzh0qVLREREsHnzZmbPnk337t1p164dnp6e9OjRg/379xMZGcmJEyeYPHmy3A44Tk5ONGnShAkTJtC/f3+50SRfffUVycnJ9OvXj3PnzhEWFsbq1au5cUPxAkwv4uDgwIABAxg8eDDbtm0jIiKCM2fO4O/vz+7du4uVx/Tp0/H392fx4sXcvHmTy5cvs3LlSubPnw/A/PnzWb9+PdevX+fmzZts3rwZS0tL2eiZF9HR0cHIyEju0NHRKVYsb8vQoT3YtOkf/voriPDwu0yb9itpaen06tUOgPHj5zNvXqAs/eDB3Th69DwrVvxFePhdlixZx5Urtxg4sIta4lUnwo1yhBvFCC/KEW6UI9woR7hRjnCjGOFFOcKNcoQb9SN2wxHTcN47DAwMaNy4MQsWLCA8PJysrCxsbGwYOXIkkyZNQiKRsGfPHiZPnszQoUOJjY3F0tKSli1bYmFhIZfX8OHDOXHiBMOGDZM7b2ZmxqFDh/juu+/w8vJCQ0MDd3d3mjVrVuw4V65cyQ8//MDYsWO5f/8+5ubmNGnShC5ditfAjRgxAj09PebMmcN3332Hvr4+rq6ujB49GgBDQ0Nmz55NWFgYGhoaNGzYkD179iCVlr7+w06dWpCQ8JjFi9cSG5uIk1MNli2bLht2+PBhLNJCLY6HhxNz545j4cI1zJ+/Cju7Kvzyy2Q17SmvXoQb5Qg3ihFelCPcKEe4UY5woxzhRjHCi3KEG+UIN4KSQJKXlycmIwneiBkzZrB582bZTjrvJzdLOoBSigPCjSKEF+UIN8oRbpQj3ChGeFGOcKMc4UY5wo1yhBvFOJR0AG/NyZjijeh/Uzwrd1Zp/u+C0vczuuCdIpFI2L59+zvNMyUlhStXrvDzzz/zv//9753mLRAIBAKBQCAQCAQCQUkjRpaUYWJjY5k6dSq7d+8mOjoaU1NT3NzcmDp1qmzKy6NHjzA1NX2n62t4e3uzfv16evTowbp164rsWPMyDh8+TOvWrUlMTFS6PohAIBAIBAKBQCAQAJw9e5bly5dz5coVYmNj+eWXX2jXrp3S9DExMcyaNYsrV65w584dBg0axOTJk9UYcfngtIpHljQuAyNLxJolZZjevXuTmZlJYGAgNWrUIDo6mqCgIOLj42VpirN7zMvIzMxEW1tb7lxAQAB//vlnke1/30fse61WeRkt61WhvmNlrtyO57cJrfj8p8McPHNXaXoPx0qsn/EBM1cGc+jcPSwqVmDG502IeJDMl7OPqDxegFvbBmHfYNGrE74FKxZ3Z9f+m1y+Fo2GhpSxXzbFoaYZHfusJi09W+E1rs4WdGpXiyvXY5g8piV/BJ4jYH2ISuMszK1z32BqP0rl5Wxe8SXbdgVz4fIdNDWk+I7tjpODFU06zuBpWqbCa5o1roWJkR5ht6PJzMqmQ2tXfvDpxccjf+XQ0VCVx5x461cqVOuv8nL+XjWRzTtOEHzpNpoaUqaP74dL7arUa/sdT9MyXnpttarmHNo6jYioGBKTUug7cr7K4wVIi1qv8npTFusM5Ncb0dYU5da5b7D/eK3Ky2npXoX6tSvlP5/GefH5nCMcPHdPaXqP2pVYP60dMwPPcyj4HhYV9ZgxshERD5P5ct5RlccLcGvjAOxm7Fd5Oa1qmlPfxoQrD5P5va87n266wP4bsS+95s++7pjrazP38C3uJDylsoEOEomE4HtJKo8XINL3A6otUv33hFa2FWlQxYjLMU/4s0sdRuy8wv7b8UrTN7E2ZtNH7ngFniEl8/k9F/c0C3X94hv1jRdNth5TeTmeFqbUNTPkelIqszydGH/yGv89ULxTI4CDsT62hhW49fgp6Tk5uJkZMcHDnoWXbvN3RLTK4wU41bs5vYNUe/8+uXqZpzp6VOjZB/74lVkXr/GbRPkPwZnxccSnpKHbsg06hw6w++4Dzqs4xhfZ2raFWssTqAYxDaeMkpSUxNGjR5k1axatW7fG1taWRo0a4ePjQ7du3WTpXpyGc/fuXfr27YuJiQkVK1ake/fuREZGyt739vamR48ezJw5kypVqlC7dm0iIyORSCRs3LgRLy8vdHV1Wbt2LfHx8fTv3x9ra2v09PRwdXVl/fr1b/W5MjIyGDduHNbW1ujr69O4cWMOHz4sl2br1q24uLigo6ODnZ0d8+bNk3vfzs6OH3/8kWHDhmFoaEi1atX4448/5NK8ykNp4r8LD1iwPoQDp5V3kBSmXu1K3I9NZdWe69yLSSH4eizr99/ErZaZiiNVL8O+/pttu0IJu53A9bA4Jkw7gLWVEXWcKiu95vK1aGYtPsbu/TfJzMxRY7Tqpc+wX1i/7RTXwx5y5fp9Rk1YhY21Ge51qim95vjpMHYfuMjN8EdERsXxe+C/XL1xnyb1a6oxctXTffBPrNnyH6E373E5NIpPx/5GtaqVqOda/aXXSaUSAhZ/xYz5W4iIilFTtOpD1BnliLZGOf+FPGDBxoscOKu8g6Qw9WqZcz8mlVX7bnAvNpXgG7GsPxiGW01zFUeqfg6HxzHv8C3+uVG89sKrphmNbU3xXn+e4xEJ3Huczvn7j9XWUaJODt9JYO7JSP4JV95Booj4p5nEPs2SHeVxaPzJ6ER+vxbFkQfFc3PzcSoH7sUR8eQpD59msO9uLKejE3E3M1ZxpOrF0MUVi249MXL3KFZ6bTNzrPr2x7RJU6SFduwUvB4SiWqPsoDoLCmjGBgYYGBgwPbt28nIePmvoc/IysqiQ4cOGBoacvToUY4fP46BgQEdO3YkM/P5L4dBQUHcuHGDAwcOsGvXLtn5iRMn8s033xAaGkqHDh1IT0+nfv367N69mytXrvDpp58yaNAgzpw588af66uvvuLkyZNs2LCBS5cu0adPHzp27EhYWBgAwcHB9O3bl379+nH58mWmTZuGr68vAQEBcvnMmzePBg0acOHCBUaNGsUXX3wh27q4uB7KKhduxGJppoeXRxUAzIx1+dDTlsPBD0o4MtViaJA/AiopuXj3w/uEkWH+F4XEpNRiX9PSszb21S04cfaWqsIqFRgZ6gGQmJTy0nSTRvcmNi6ZwI2H1RBVySPqjHJEW/PmXAiLw9JcDy/3Qs+nxtU4fOF+CUdW8rRzqMylB8l83rQ6p75pyaFRzZjUzgEdTfFV/Rl7BzTg3IgmrO1ZlwZWRiUdTqnEwVgfVzMjLsQ9LulQBIJygZiGU0bR1NQkICCAkSNHsnTpUjw8PPDy8qJfv37UrVtX4TUbN24kNzeXZcuWISnozlu5ciUmJiYcPnyYDz74AAB9fX2WLVsmm37zbMTF6NGj6dWrl1ye48aNk/37f//7H//88w+bNm2iUaNGr/2ZoqKiWLlyJVFRUVSpUkWW/759+1i5ciU//vgj8+fPp23btvj6+gLg4ODAtWvXmDNnDt7e3rK8OnXqxKhR+cPWJ0yYwIIFC/j333+pXbt2sT2UVc5fj2XswmMsGtsSHS0NtDSlBJ29y7Q/T5d0aCpDIoHJY704F/KAsNf8paq8I5FI8J/8EafO3SI07OFL0xoZ6HL1+I/oaGuRk5vLOL8NHD5+XU2Rqh+JRMKcaYM5cfY6124q/2W8acPaeH/cisYdfdQYXckh6oxyRFvzdpy/EcvYJSdYNLr58+fTuXtMW3G2pEMrcaqZVKBhNRMysnP5bHMIpnra/PChE6YVtPhu59WSDq9EiUnNxCfoJpdinqCtIaWfiyUbe7vRfeMFrsS+vKP7fWHHhw0x0dFCQyph2bUodkSqZwqOoHxTRgZ/qBTRWVKG6d27N507d+bo0aOcOnWKvXv3Mnv2bJYtWybXcfCMixcvcuvWLQwNDeXOp6enEx4eLnvt6upaZJ0SgAYNGsi9zsnJ4ccff2TTpk3cv3+fzMxMMjIy0NPTe6PPc/nyZXJycnBwkN9qKyMjAzOz/CkkoaGhdO/eXe79Zs2asXDhQnJycmSLzRbuMJJIJFhaWhITkz8UtrgeXozhxRE873LR3HeJfVVjpgxvyM+bLnE05AGVTSswYXB9ZnzWBJ9fT5Z0eCph2oTWONQ0o9+IzSUdSqlj7rSPcXKowof95r0y7ZPUDFp280dfTwevprWZOak3kXfjOH46TA2Rqp+FPwzFxcGGtr2nKU1joK/L8gWjGDXhT+ITn6gvuBJE1BnliLbm7bC3NmLKkPr8vPUyRy8+zH8+DajHjBGN8Pm9/HboFweJBPLyYPT2yzzJyF+XY8aBG/z2kRtT9oaSkZ1bwhGWHLeT0ridlCZ7HfwwGVvjCoyoV5XR+8tv5+zr8NmRS+hpalCnoiGj6thxLyWNA/fiSjosgaDMIzpLyji6urq0b9+e9u3b4+vry4gRI/Dz81PYWZKSkkL9+vVZu7boom+VKlWS/VtfX19hWS+enzNnDosWLWLhwoW4urqir6/P6NGj33gqS0pKChoaGgQHBxfZYcfAwOC18npx8VmJREJubq6snOJ4KIy/vz/Tp0+XO+fn5weUvrn5n/eqw/nrsSz7+xoAN+4k8TT9NBt/7Mj89SHEJqa9Ioeyhd/4VrRpXp3+n27hUYz4hakws/360qGNK536z+fBo6RXps/LyyPiTv4ChFdC7+FQ05JvP+9QLv/wXfC9N53aetCuz3TuP1K+eF4NWwvsqlVm64rvZOek0vzfWp7cXkPd1mOIuFN+1jARdUY5oq15ez7vUYfzN2NZtjN/AeAbUUk8Tc9m4/cfMH/jRWKT0ks4wpIjNiWTR08yZB0lALfiUpFKJFgZ6RKZ8LQEoyt9hEQ/oWGV8rUux9vw8Gn+D3rhyU+pqKvNCOdqorNE8NaUlXVFVInoLClnODs7yy3oWhgPDw82btxI5cqVMTJ6+7mex48fp3v37gwcOBCA3Nxcbt68ibOz8xvlV69ePXJycoiJiaFFC8UrSDs5OXH8+PEicTg4OBR7C+M38eDj48OYMWPkzuno6LCm/6ZiXa9OdHU0yMmVX/Yst+B1eWvz/Ma3on2rmgz4bCv3HiSXdDilitl+fenc3p2uAxYQde/NpgtIJRJ0tMvfY2LB995069iQD/rO4M7dl+9OcSP8AfXbfSd3btp3fTEwqMA4v0DuFXMRvrKAqDPKEW3Nu0FXR4OcHCXPp/f8W/m5u4l0crZAT0uDp1n5iwLXqKhHTm4eD5Pf304kZbhUMiAmVawbpAgJoC0Va90I3h5Ri4SDMkt8fDxt2rRhzZo1XLp0iYiICDZv3szs2bOLTFN5xoABAzA3N6d79+4cPXqUiIgIDh8+zNdff829e8Vbyb4wtWrV4sCBA5w4cYLQ0FA+++wzoqOLN0fy8uXLhISEyI6LFy/i4ODAgAEDGDx4MNu2bSMiIoIzZ87g7+/P7t35+3yPHTuWoKAgZsyYwc2bNwkMDOTnn3+WWzvlVbyJBx0dHYyMjOQOdU3D0dPVxMnOFCc7UwBsKhvgZGeKlXn+dKdxA+ox5+umsvSHzt3jg8bV+KSDAzYWBng4VsJ3RENCbsYRU45GlUyf0JruHzoyZso+Up9mYm6mh7mZHjo6zzvN5kz/gHFfPnejpSnFycEcJwdztLSkWFQywMnBHNuq5evXqbnT+9G3eyNGjllJSmoGlc2NqGxuhK7O8xFXv80ZwtRxz9uKbz/vQKtmjtjamOFQ05Ivh7fl4x6N2fT3my/YXBpZ+MMw+vVszpD//UxKahoWlYyxqGQs52bZgi/4fkI/ADIysrh2857ckZT8lJSUNK7dvEdWVvnY6UTUGeWItkY5ejqaONma4mRb6Plka4qVWcHzqb87c770lKU/FHyfDxrZ8En7WthUNsCjdiV8hzYgJKx8PZ8A9LQ0cLYwxNkif8qvjUkFnC0MqWKkC8D4NvbM615Hlv7vK49IfJrFnG4u2Jvr06iaKT7tHNgUcr/cTcHR05LibK6Ps3n+iGUbY12czfWpYpj/vWpC0+os+KC2LP1wd2va1zDD1lgXBzM9/FrWpGlVE1ZdKn8L11fQkFLLWJ9axvluqujpUstYH4sK+W6+cLFlaoPn09V717CiuVVFbAx0sTHQpaudBQMcrNlXznZty0lPJ+1uFGl3owDIjI8l7W4UmQn5HfuPtm/lXsByuWuepc/NyCA75Qlpd6NIf1j+6oxAtZS/n3/eEwwMDGjcuDELFiwgPDycrKwsbGxsGDlyJJMmTVJ4jZ6eHv/99x8TJkygV69ePHnyBGtra9q2bftGI02mTJnC7du36dChA3p6enz66af06NGDx49fvQJ3y5Yt5V5raGiQnZ3NypUr+eGHHxg7diz379/H3NycJk2a0KVLFyB/VMimTZuYOnUqM2bMwMrKiu+//17htCNlvGsPqsa1phlrZzxfdHbysPy1Y7YeCmfCzyeoZFqBKubPp0ht+/c2+hW0GPRhbXy865Ocmsmpy4+Yvfq82mNXJQP65K9Ls+6Pj+TOj5+2n2278od4V7E0lP1qCVC5kj471w2QvR45uD4jB9fndPA9Bny2VQ1Rq4fhA/Lvr93rvpU7P2r8KtZvOwVA1SqmsqlpAHoVtJk7vR9VLE1IT88i7HY0n40N4K89weoLXA18Nrg9AAc2T5U7P3LMb6zZ8h8ANlXM5erN+4CoM8oRbY1yXGtWZK1fe9nryUPqA7D1cDgTfjtFJRNdqpgVej4duY1+BU0GdXDAZ5BH/vPpajSz115Qe+yqpm4VIzYMbih77fuBIwBbLt5n3I6rVDbQwbqg4wTgaVYOg9aeY1pHJ3aOaELi0yx2X3vE3MPlb3epupUN2fSRu+y1X0t7ADZfe8TYAzeorK9NFcPnbrQ0pPi2qImlgTZpWbmExqXyyV+XOFkOt1V2MjXkVy9X2evRbjUA2B0ZzYzgMMx1tbHUe/5jnVSS34FSRV+XnLw87qek88uVSP66/UjtsauStKhIIhfOlb1+tDV/ZLdJk6ZUHTyM7OTHZCbKj4gM9/9e9u/0qDs8PnsarYpm1P5hlnqCLgdIJO/XdyFFSPLy8oQFgeANse+1uqRDKJXc2jYI+waLSjqMUsetc99gaj+qpMMolSTe+pUK1fqXdBilkrSo9aLeKCHx1q+irVHArXPfYP9x0XW5BHBr4wDsZuwv6TBKJZG+H1Bt0ZGSDqNUEvWNF022HivpMEolp3o3p3fQ0ZIOo9Sxta3iJQXKEhfid6k0/3pmXVSa/7tATMMRlDsCAgIwMTGRvZ42bRru7u4lFo9AIBAIBAKBQCAQlCUkKj7KAmJkieCNiY2NZerUqezevZvo6GhMTU1xc3Nj6tSpNGvWrMTiCggIYPTo0SQlJQH5u98U3n64LLJ27VqWL19ObGwsjo6O+Pr6ym2PXJj9+/ezdOlSoqKiyM7OxtbWlqFDh9KjRw/1Bq0mXsfNpk2b2L59O2Fh+Tt1uLi4MGbMGKXpyzqv4yYsLIzFixdz9epV7t+/j4+Pz2tNbytLCC/KEW6UI9woR7hRjnCjGOFFOcKNcoQb9RKi4pEl7mVgZIlYs0TwxvTu3ZvMzEwCAwOpUaMG0dHRBAUFER9funaHMDAweO2th4vL48x9Ksm3MAf2ncfffw0TffviUteODasPM2zYYDbvnExFM8Mi6TX1wxg8sjF21buhpaXJsSNXmDTJB13jCDybOak8XgBj7Y48zT7+6oRvyT97z+Dvv4zJfoOo41qDdasPMGz4ELbv+pGKZkXXnzlxajcffOjEdz5d0dbRImD5HoYOG8zWv3+gsoWpyuPV02xGZq561nPYt+ck/v6/4TttGHXr2rN61V6GDSVMF9kAAORkSURBVB/Czj3zMDMrusjkk6fhVKmqRbsPejL7pzXk5N1TW6wA2tL6ZOScVXk5+/aewt9/Kb5+Q3Gta8+a1fsYNnwIO3bPUeglOTUcK2tN2n7Qgzk/rSE7765a4iyMjkZDtfxflLU6A/n1RrgpSr6Xc2opK9/N0gI3NVm9al+Bm7nFdHNXbbECaEsbkJGjnkWI89ub3wvam5qF2pvZStqb2wXtTXfm/LSW7LwotcUKoKPRiPSckyovZ9/e0/j7/8kUvyG41q3B2tX7GTZ8CH/v/gkzBc/ux6m3sbKW0uaDrsz9aT3ZeZFqibMwuhqewo0ShBvF6Gp4vjpRKec936QMENNwBG9IUlISR48eZdasWbRu3RpbW1saNWqEj48P3bp1AyAqKoru3btjYGCAkZERffv2ldst59n0mBUrVlCtWjUMDAwYNWoUOTk5zJ49G0tLSypXrszMmTPlyp4/fz6urq7o6+tjY2PDqFGjSElJURrri9Nwzp49S/v27TE3N8fY2BgvLy/Ony+9i5+uW3WYHr2b0rVnE2rUtGTi1L7oVtBm51+nFKav37AWrdu6Ub2GJVVtzOk3sBX2DlW4eP62miNXPWsC/6HXRy3p3rMFNe2tmew3GF1dbbZvUzx39sfZn9K3fxtqO1Wjeg0rpn4/lLzcPE6fuqbmyFXPqsA99O7Tmp69WlHTvipTpw2ngq4Of21TPB+9jmtNxn43gA87N0W7HG79+oxVAXvp3ac1PXp5UdPeGl+/oVTQ1WH7S718woedPNHW1lKYprwg6oxyhBvlrArcW+DGq8DNsGK4+YQPO3uWfzcBe+ndpxU9erV8ob35T2H6Oq41GPtd/3Lf3qwO+Idefbzo0Sv/2T3Fb0jBs1u5lzHf9ePDTk3KfZ0RbpQj3AgAfvnlF+zs7NDV1aVx48acOaO8QzkgIACJRCJ36OrqKk2vCNFZIngjno3W2L59OxkZRfe5z83NpXv37iQkJHDkyBEOHDjA7du3+fjjj+XShYeHs3fvXvbt28f69etZvnw5nTt35t69exw5coRZs2YxZcoUTp8+LbtGKpXKhtUFBgZy6NAhxo8fX+zYnzx5wpAhQzh27BinTp2iVq1adOrUiSdPnry5EBWRlZXN9Wt3adjk+TZxUqmUhk0cuHwx8pXX5+XlcebUDe5ExlCvfk0VRqp+sjKzCb12h8aezrJzUqmUxk2cuXQxvFh5pKdnkJ2dg7Gx/qsTlyGyMrO5djWCJp7Pt6WUSqU08azDxZCwEoysZMmvMxE0aeIiOyeVSmns6cLFkPK348TrIOqMcoQb5Qg3yslvbyJFe/MCz73IP7ubeLpwKaR4z+7yinCjHOGmZChta5Zs3LiRMWPG4Ofnx/nz53Fzc6NDhw7ExCjfKtvIyIiHDx/Kjjt37rxWmaKbTfBGaGpqEhAQwMiRI1m6dCkeHh54eXnRr18/6tatS1BQEJcvXyYiIgIbGxsAVq1ahYuLC2fPnqVhw/zt9HJzc1mxYgWGhoY4OzvTunVrbty4wZ49e5BKpdSuXZtZs2bx77//0rhxYwBGjx4ti8POzo4ffviBzz//nF9//bVYsbdp00bu9R9//IGJiQlHjhyRbVFcWkhKTCUnJ7fIdJuKZobciVDeMKQ8SaNz26lkZmWjIZUyfkofGjd1VHW4aiUx6UmBG/mhl2ZmRkRGPCxWHovmbaFSZRMae7q8OnEZ4pmbF4d5m5kZExHxoISiKnlkXswVeLldvDpTXhF1RjnCjXKUuzESbpS2N0ZE3H5/3bzci2iHhRvFCDcCyJ9dMHLkSIYOHQrA0qVL2b17NytWrGDixIkKr5FIJFhaWr5xmaKzRPDG9O7dm86dO3P06FFOnTrF3r17mT17NsuWLSM5ORkbGxtZRwmAs7MzJiYmhIaGyjpL7OzsMDR83hFgYWGBhoYGUqlU7lzhHsODBw/i7+/P9evXSU5OJjs7m/T0dJ4+fYqent4r446OjmbKlCkcPnyYmJgYcnJyePr0KVFRUUqvycjIKDKCRkdHp9Qu5aynr8OaLeNJe5rB2dM3WThnO9ZVzajfsFZJh1ZqWPHnbv7Ze4Y/A8ajo1N+hzsLBAKBQCAQCASvi1TFf+co+/tKR0enSNrMzEyCg4Px8fF5Hp9USrt27Th5UvlaNCkpKdja2pKbm4uHhwc//vgjLi7F/5FUTMMRvBW6urq0b98eX19fTpw4gbe3N35+fsW+XktL/o9UiUSi8Fxubi4AkZGRdOnShbp167J161aCg4P55ZdfgPybqDgMGTKEkJAQFi1axIkTJwgJCcHMzOyl1/v7+2NsbCx3+Pv7F/tzvikmpvpoaEhJiJefIpQQ/wQzBYu7PkMqlWJTrRIOjlUZMKQNbdq7EbDsoKrDVSumJoYFbpLlzsfHJxf55eFFVq3cx8rle/j1zzE41LZ5adqyyDM38fGP5c7Hxz/GzNykZIIqBci8xBX1Yv6KOlPeEXVGOcKNcpS7eXU7XN5R3t4kY/4e15uXexF1RrhRjHBTPnmdv6/i4uLIycnBwsJC7ryFhQWPHj1SeE3t2rVZsWIFf//9N2vWrCE3N5emTZty7969YscoOksE7xRnZ2dSU1NxcnLi7t273L17V/betWvXSEpKwtnZ+SU5vJzg4GByc3OZN28eTZo0wcHBgQcPXm846/Hjx/n666/p1KkTLi4u6OjoEBcX99JrfHx8ePz4sdxRuGdTVWhpaeLobMPZ0zdl53Jzczl36iaubnbFzicvN4+szGwVRFhyaGlr4uRsy+lTobJzubm5nDkdSl035euzBCzfy59Ld/LL72NwqVNdHaGqHS1tTZxdqnP61FXZudzcXE6duoqb+/s7uii/zhT1cvrUVdzc7UswspJH1BnlCDfKUe7minCjrYmTs53cAuKivXmZl2vUdS9fa6u9LsKNcoSbkkHVa5ao+u8rT09PBg8ejLu7O15eXmzbto1KlSrx+++/FzsPMQ1H8EbEx8fTp08fhg0bRt26dTE0NOTcuXPMnj2b7t27065dO1xdXRkwYAALFy4kOzubUaNG4eXlRYMGDd64XHt7e7KysliyZAldu3bl+PHjLF269LXyqFWrFqtXr6ZBgwYkJyfz3XffUaFChZdeo2xIWHrxBrO8FZ8MbsX0yWtxcqmGi2s1Nqw+QlpaJl165K/h4jdpDZUrG/Pl6K4ABCw7gJOzDVVtzMnMyubE0Wvs2XWWCVP6qj5YNTNwSAemTlqGs4sddVyrs271AdLSMujeszkAU3z+pHJlU77+9iMAVi7bw28/b+fH2Z9SpYo5cbH5v1Do6emgp/96q2OXdgYP6cRkn6W41KmBq2tNVq/aS1paOj16egEwacKvVLaoyOgx/YD8xdPCw/N72rOysomJSeB6aCR6erpUs33zuZ6ljcHeHzLF53ec61TH1bUma1btIy0t47mXiUuxqGzKN2PyF6PO93I//99Z2cREJ3A99A56ejrlyguIOvMyhBvlDB7yIZN9fsel4J5a/eI9NeE3KluYvsRNYvl14/0hU3z+KGhvarBm1T8FbloCxWlvEgvaG12q2VooLaesMci7A74+f+JSpzp1XGuwZtX+Ai8tAJg88Q8qVzblmzF9gBe95JRbLyDcvAzhpvyh7O8rRZibm6OhoSG3syrkL69Q3DVJtLS0qFevHrduFX+RbdFZIngjDAwMaNy4MQsWLCA8PJysrCxsbGwYOXIkkyZNQiKR8Pfff/O///2Pli1bIpVK6dixI0uWLHmrct3c3Jg/fz6zZs3Cx8eHli1b4u/vz+DBg4udx/Lly/n000/x8PDAxsaGH3/8kXHjxr1VXKqkfUcPEhNS+OOXPcTHJePgWJVFSz/HzDx/YdPoh4lIC22EnvY0k9kzNxMT/RgdHS1sq1fme/9BtO/oUVIfQWV0+LARiQlP+O3n7cTHPaa2ow2//P6tbPj3o4cJSCXPB9Bt3vgvWVnZfPet/GLAn43qxudf9lBn6CqnYydPEhKT+WXxFuLiknB0smXpHxNlw1UfPoxHUmhtoJjYRPr0miR7HbBiNwErdtOgoRMrV/mqPX5V0fHDJiQmJPPrkq3ExT2mtqMtv/0+vlCdiUNaaJJuTGwifXtPlr0OXLmHwJV7aNDQkRWBU9QevyoRdUY5wo1y8t08KXDzuMDNhBfcyN9TfXo9v6fk3ZSze+rDJiQmPCnU3lTjt9+/K9TexCtob547kG9vJhfJv6zS8cPGBV7+knn59fexL/Xyce/nU7wDV+4jcOU+GjSszfJA1Y/yVSfCjXKEG/VT6M+LEkdbW5v69esTFBREjx49gPzRRUFBQXz11VfFyiMnJ4fLly/TqVOnYpcrycvLy3uTgAUCATzO3FfSIZRKjLU78jT7eEmHUerQ02xGZm5wSYdRKtGW1icj52xJh1Eq0dFoKOqNErSl9YUbBeR7OVfSYZRKtKUNyMg5U9JhlEp0NBqRnqN8ocT3GV0NT+FGCcKNYnQ1PEs6hLfmWtIulebvbPJ6u5Bu3LiRIUOG8Pvvv9OoUSMWLlzIpk2buH79OhYWFgwePBhra2vZuifff/89TZo0wd7enqSkJObMmcP27dsJDg4u9rIQYs0SwVtz+PBhJBIJSUlJ7zzv69ev06RJE3R1dXF3d1eaLiAgABMTk3devkAgEAgEAoFAIBC8b6h6zZLX5eOPP2bu3LlMnToVd3d3QkJC2Ldvn2zR16ioKB4+fL6VdGJiIiNHjsTJyYlOnTqRnJzMiRMnXm/9zDxBuSAmJibv888/z7OxscnT1tbOs7CwyPvggw/yjh079k7L8fLyyvvmm2/kzv377795QF5iYuIb5fnpp5/mSaXSvE2bNhV5r2/fvnlt2rTJi4yMzIuLi1Oax9OnT/Oio6PfqPyywJo1a/Jat26dV6dOnbyPPvoo7+LFiy9Nv2fPnrwOHTrk1alTJ69Lly55hw8fVlOk6ke4UY5woxjhRTnCjXKEG+UIN8oRbhQjvChHuFGOcKNeriXuVOlRFhDTcMoJLVu2JDMzE39/f2rUqEF0dDRBQUG4uLjQrVu3d1ZOq1atcHd3Z+HChbJzhw8fpnXr1iQmJr726I6nT59iZWXFqFGjCAkJYe/evXLvN2jQgM6dOzN9+nSleWRlZRXZblh93Hx1krdkz56jjB8/n+nTv8TNzYHAwB3s23eMffuWYmZmUiT9+fOhDBw4kTFjhtC6dUN27jzCsmVb2bZtIQ4OtiqPNx8HhBtFqMcLCDfKKHteQLh5GcKNYkRboxzhRjniflKOcKMc4UYxDmooQ7VcV/E0HMfXnIZTEohpOOWApKQkjh49yqxZs2jdujW2trY0atQIHx8fuY6SqKgounfvjoGBAUZGRvTt21duRWFvb2/ZgjnPGD16NK1atZK9f+TIERYtWoREIkEikRAZGSlLGxwcTIMGDdDT06Np06bcuHHjlbFv3rwZZ2dnJk6cyH///Se31bBEIiE4OJjvv/8eiUTCtGnTiIyMRCKRsHHjRry8vNDV1WXt2rUKp+Hs3LmThg0boquri7m5OT179pS992w3HENDQywtLfnkk0+IiYkphm31s3Lldvr27UDv3u2wt6/G9Omj0NXVYevWAwrTr1q1gxYtPBgxohc1a9owevRAnJ1rsmaNahu8kkC4UY5woxjhRTnCjXKEG+UIN8oRbhQjvChHuFGOcKN+pBLVHmUB0VlSDjAwMMDAwIDt27eTkZGhME1ubi7du3cnISGBI0eOcODAAW7fvs3HH39c7HIWLVqEp6cnI0eO5OHDhzx8+BAbGxvZ+5MnT2bevHmcO3cOTU1Nhg0b9so8ly9fzsCBAzE2NubDDz8kICBA9t7Dhw9xcXFh7NixPHz4UG7HmokTJ/LNN98QGhpKhw4diuS7e/duevbsSadOnbhw4QJBQUE0atRI9n5WVhYzZszg4sWLbN++ncjISLy9vYvtQl1kZmZx9eotmjZ1k52TSqU0berOhQuKO6NCQq7j6ekud65583qEhFxXZahqR7hRjnCjGOFFOcKNcoQb5Qg3yhFuFCO8KEe4UY5wIygpxNbB5QBNTU0CAgIYOXIkS5cuxcPDAy8vL/r160fdunUBCAoK4vLly0RERMg6OFatWoWLiwtnz56lYcOGryzH2NgYbW1t9PT0FO5nPXPmTLy8vID8zozOnTuTnp6Orq6uwvzCwsI4deoU27ZtA2DgwIGMGTOGKVOmIJFIsLS0RFNTEwMDA1l5cXFxQP6Il169eimNdebMmfTr109u+o6b2/MGtnBHTo0aNVi8eDENGzYkJSUFAwODV7pQF4mJyeTk5GJmZip33szMhNu37ym8Ji4uCXNzkyLp4+KSVBRlySDcKEe4UYzwohzhRjnCjXKEG+UIN4oRXpQj3ChHuCkZysjgD5UiRpaUE3r37s2DBw/YsWMHHTt25PDhw3h4eMhGaoSGhmJjYyM3EsTZ2RkTExNCQ0PfSQzPOmYArKysAF46tWXFihV06NABc3NzADp16sTjx485dOjQK8tq0KDBS98PCQmhbdu2St8PDg6ma9euVKtWDUNDQ1knT1RUlML0GRkZJCcnyx3KRvEIBAKBQCAQCAQCgaBsIzpLyhG6urq0b98eX19fTpw4gbe3N35+fsW+XiqV8uJ6v1lZWcW+vvAiqxJJfl9kbm6uwrQ5OTkEBgaye/duNDU10dTURE9Pj4SEBFasWPHKsvT19V/6foUKFZS+l5qaSocOHTAyMmLt2rWcPXuWv/76C4DMzEyF1/j7+2NsbCx3PNvDW5WYmhqhoSElPj5R7nx8fBLm5qYKrzE3L9prnp/eREVRlgzCjXKEG8UIL8oRbpQj3ChHuFGOcKMY4UU5wo1yhJuSQSLJU+lRFhCdJeUYZ2dnUlNTAXBycuLu3btyC6heu3aNpKQk2V7TlSpVktubGvJHaBRGW1ubnJyct45tz549PHnyhAsXLhASEiI71q9fz7Zt20hKSnqr/OvWrUtQUJDC965fv058fDw//fQTLVq0wNHR8ZWLu/r4+PD48WO5w8fH561iLA7a2lq4uNhz8uQl2bnc3FxOnrxIvXq1FV7j7u7IqVMX5c6dOBGCu7ujSmNVN8KNcoQbxQgvyhFulCPcKEe4UY5woxjhRTnCjXKEG0FJITpLygHx8fG0adOGNWvWcOnSJSIiIti8eTOzZ8+me/fuALRr1w5XV1cGDBjA+fPnOXPmDIMHD8bLy0s2paVNmzacO3eOVatWERYWhp+fH1euXJEry87OjtOnTxMZGUlcXJzSkSOvYvny5XTu3Bk3Nzfq1KkjO/r27YuJiQlr1659Kyd+fn6sX78ePz8/QkNDuXz5MrNmzQKgWrVqaGtrs2TJEm7fvs2OHTuYMWPGS/PT0dHByMhI7tDR0XmrGIvL0KE92LTpH/76K4jw8LtMm/YraWnp9OrVDoDx4+czb16gLP3gwd04evQ8K1b8RXj4XZYsWceVK7cYOLD0b8/1ugg3yhFuFCO8KEe4UY5woxzhRjnCjWKEF+UIN8oRbtSPRMVHWUAs8FoOMDAwoHHjxixYsIDw8HCysrKwsbFh5MiRTJo0CcifFvP333/zv//9j5YtWyKVSunYsSNLliyR5dOhQwd8fX0ZP3486enpDBs2jMGDB3P58mVZmnHjxjFkyBCcnZ1JS0sjIiLiteONjo5m9+7drFu3rsh7UqmUnj17snz5cr788ss3sJFPq1at2Lx5MzNmzOCnn37CyMiIli1bAvkjaAICApg0aRKLFy/Gw8ODuXPnym2zXJro1KkFCQmPWbx4LbGxiTg51WDZsumyYYcPH8YiLbT/loeHE3PnjmPhwjXMn78KO7sq/PLLZDXtKa9ehBvlCDeKEV6UI9woR7hRjnCjHOFGMcKLcoQb5Qg3gpJAkvfiIhUCgeA1uFnSAZRSHBBuFCG8KEe4UY5woxzhRjHCi3KEG+UIN8oRbpQj3CjGoaQDeGtuP9mp0vxrGHZVaf7vAjENR/DaHD58GIlE8tbrirwrvL296dGjR0mHIRAIBAKBQCAQCASCcoKYhlNGiY2NZerUqezevZvo6GhMTU1xc3Nj6tSpNGvW7J2V06pVK9zd3Vm4cOFb53XkyBGmT59OSEgI6enpWFtb07RpU/7880+0tbXfPtgSQT29xmvXrmX58uXExsbi6OiIr6+v3FbNLxIQEMD69et5+PAhpqamdOjQgbFjx6ptnZV8hBvFqO+XhtdxM2jQIM6cOVPkvJeXF3/88YeqQy2gdNaZ5ORkFixYwIEDB0hKSsLa2ppJkybJthxXD8KNckqfm23bthVZBFxbW1tuWqvqKZ1tjXAj3IBoa16GcKOcsve9pmwjRlWIzpIyS+/evcnMzCQwMJAaNWoQHR1NUFAQ8fHxJR2aQq5du0bHjh353//+x+LFi6lQoQJhYWFs3br1neyuU1Isurpf5WWEHQsmaPEavD77mBYOtlzadZiB3oPpv8QXPRPDIulv/neOf39ZS+svB9DcsTpJD2LYvGQNIQlRNBvaS+XxAnzj8gGBYf+ovJxr/51n5/zVdPzyY6rUtuXs30cY5D2Yz36fgr4CN1cPn2PXonV0+eYTOjlVJ+F+DFsXriU06Q7tRqrezZBaHfj7zl6VlwMQcvg8G+espdfXfanmaMvRbUcYPHQw3y2fhIFpUTedxnenQ/bzRc9Sk1NZ+PkcLBpWUUvM3W0/5MjDPSov5+yhC6z0X8uAMX2o7mRL0JYjDBk6mO9X+2CkwEt2VjazvlqMoakBQ6f2w8TchPjoBO5Kb3LkYarK4wXwsurE2djdKi/nVNAFlvqvY+i4Ptg7V2Pfpv8YMnQwc9ZPxFiJm+lfLMHI1IAvpvfDtJIxcY8SiNW6wdnYFJXHC9CwUmdC4nepvJwTBy/wi/96Rnz3EbVcqrFn41G8hw1mwfoJGFcs6iYqJYQK+ros3DDh+UmJRC2xAribdeFignrKOnHwAj/7r2fk+Hw3uwvcLNyg2M3d1Hw3izbKu1FXvG4Vu3BBTf8PJw5e4NeCemNfqN7MV1Jv7hTUmwUv1Bt1xVvPrAtn1NTW/F7Q1tQs1NbMfklb831BW/N5obYmRusGZ9TU1jSq1Jmjj1Tv5syhC6zwX8fAMX2o4VyNg5vz3fywZqLSZ9RPXy7B0NSAYX79MDU3Jj46gfsaNzj6SD1uWlh2ZmeU6r8nhBw+z/rZa+n9dV+qOT3/XjN+xSQMFbjpMqE7HQt9r3manMr8z+Zg2bCKWuLtWu1DlZchUD2iw6gMkpSUxNGjR5k1axatW7fG1taWRo0a4ePjI7dIaVRUFN27d8fAwAAjIyP69u1LdHS07H1F01dGjx5Nq1atZO8fOXKERYsWIZFIkEgkREZGytIGBwfToEED9PT0aNq0KTdu3FAa8/79+7G0tGT27NnUqVOHmjVr0rFjR/78808qVKgAwLRp03B3d5e7buHChdjZ2cle5+TkMGbMGExMTDAzM2P8+PG8uOzOvn37aN68uSxNly5dCA8Pl70fGRmJRCJh27ZttG7dGj09Pdzc3Dh58uTLtJcYF3f+i3N7T5zaNqGijRVen32Mpo421w8pjvfRjdtYOtbAoWUDjCqbUc3diVrN6xMddkfNkaueM9v/xb1DU9zaN6FSNSs+/LIvmjraXDxwSmH6e6ERVHWqgUurBphYmFHDwwnnlvV5EBal5shVz9Gth2n8oScNOzTGwtaSXt/0QUtHm7P/nFaYXs9IH8OKRrIj7PwNtHS1qNvCXb2Bq5gDmw/TvLMnzT5sTBU7SwaM6YO2rjbH9yj2cnzPaVKfPGXUD8Oxd62BuVVFarvbY2NvrebIVc/eDUdo3bUJXp0bYV3dkqHffYSOrhZHdhX9ZQ7gyO4zpCY/5Vv/YTjUrU4lq4o41bPHtlb5c7N7w3+07daE1l0aUbW6JSPG90ZbR4t/lbgBkEjAxMzo+aHgj+PywK718m5GCjcydm/4jzbdmtDqhXpz+D13s3fDEVp1bULLF9qa/17R1ox+D9qaA5uO0KJLE5p3akQVO0sGjv0IbV0tju1R7ObYnjOkPnnKlzOHUcu1erl+Rh0p+F7TqGNjLG0t6V2M7zVGFY1kx81n32tauqs38DKMRKLaoywgOkvKIAYGBhgYGLB9+3YyMjIUpsnNzaV79+4kJCRw5MgRDhw4wO3bt/n444+LXc6iRYvw9PRk5MiRPHz4kIcPH2JjYyN7f/LkycybN49z586hqanJsGHDlOZlaWnJw4cP+e+//4r/QRUwb948AgICWLFiBceOHSMhIYG//vpLLk1qaipjxozh3LlzBAUFyXbYeXGb48mTJzNu3DhCQkJwcHCgf//+ZGdnv1V875qcrGxiw+9Ste7zPeQlUilV69bm0Y1IhddY1q5BbPhdosPy33/8KI47569h6+GshojVR05WNg9v3cXOXd5Ndffa3L+ueJemqk7VeRR+lwc38juOEh/FEX7uGjUblC832VnZ3A+7h32958NipVIpteo5cCc0slh5nN13GjcvD7QrqHPqlmrJzsom6sY9nOrLe3GqX4vb1xR3Jl48cZWaznasX7iFsT19meY9iz1rDpCb82bbppdWsrOyibh5D5cG8m5cGjhw62qkwmvOH7uCfR1bAudtZVTXqUwcNJu/Vx0sl25u37iHa4NasnNSqRTXhg6EXVHeCZ2elsmXPX9gVI/vmTN+BXdvP1JHuGpF5qZhUTc3X+FmVM8f+KL798wux24ilNSbV7n5qhzXm+ysbCLfoq35sqCt2VFO25o7N+/hXOQZ5cBtJW5Cjl+hhost6xZs5dseU5nqPZvdq8unm/s37+Hg8cL3Gg8H7lyLLFYeZ/aexr2VBzrl6HuNQPWIaThlEE1NTQICAhg5ciRLly7Fw8MDLy8v+vXrJ5u3FxQUxOXLl4mIiJB1cKxatQoXFxfOnj1Lw4YNX1mOsbEx2tra6OnpYWlpWeT9mTNnyuZDTpw4kc6dO5Oeno6urm6RtH369OGff/7By8sLS0tLmjRpQtu2bRk8eDBGRkbF/uwLFy7Ex8eHXr3yp0wsXbqUf/6Rn+7Ru3dvudcrVqygUqVKXLt2jTp16sjOjxs3js6dOwMwffp0XFxcuHXrFo6OjsWOR9WkP0klLzcXPRN5RxVMDEm8H63wGoeWDUh/ksJfkxdCXh65Obm4dGhO/Y86qCFi9fE0Od/Ni9Nt9E0Mib+n2I1LqwY8TU5l1YSFMjf1PmxGs74fqCFi9ZGanEpubm6RYakGpobE3FXspjBR1+/wKPIhH43pp6oQS4SUx/lejF74pdbQ1JCHUTEKr4l9EM/1R2E0bl+fr3/6lJj7caxbuIWc7By6endUR9hq4cnjVHJzcotMDTCuaMjDO4rdxDxIIO78LZq29+C7OSOJvh9HwLyt5GTn0GtY+WlvkpOUuTHggRI3VapV5vNJH2Nb04qnqensXHcY38+WMG/td5hVNlFD1OrhmZsXRz+YvMLNF5M+xtbeiqcp6exYd5gpny5h/rry6UZRvbn/inpTraDe7Fp3mKmfLWFuOao3ytoao4qGSutM7IMEQs/fwrO9B+MK2prAeVvJLmdtTUqBmxen2xiZGvJIyTMq7mEC1y/cokk7D76ZNZKY+3GsXZA/xb2bd/lxk1rw/H5xGrHha36v6Tu2fH2vUTVlZPCHShEjS8oovXv35sGDB+zYsYOOHTty+PBhPDw8CAgIACA0NBQbGxu5kSDOzs6YmJgQGhr6TmIovKCSlZUVADExihtzDQ0NVq5cyb1795g9ezbW1tb8+OOPuLi48PDhw2KV9/jxYx4+fEjjxo1l5zQ1NWnQoIFcurCwMPr370+NGjUwMjKSTeOJipKfavE68WdkZJCcnCx3KBvVU9LcvxJG8Nb9tBzZlz5zJ9Bx/AjuBF/l3KZ9JR1aiXPnUhgnNu2n4xd9GLZoPL0nDSf83DWOrRduCnN23yksq1tRzdG2pEMpcfLy8jA0NWDQ2L7Y1rahYZt6dBrYniM7TpR0aCVOXm4eRiYGDB/fl+qONjRpW49ug9sR9Ldw4+Bqh9eHDbBzsMa5Xk3G+ntjZKLPwe2lc7qnOnFwtcOrU4Ebj5qM+ynfzYG/hBsHVztaFqo3Y0S9AZS3NYdEWyNzM3hcX+xq29CoTT06D2zHEeFGjjP7TmElvtcI3gDRWVKG0dXVpX379vj6+nLixAm8vb3x8/Mr9vVSqbTIeh9ZWVnFvl5LS0v2b0nBxLMXp7q8iLW1NYMGDeLnn3/m6tWrpKens3Tp0ncSzzO6du1KQkICf/75J6dPn+b06fy5jJmZmW8cv7+/P8bGxnKHv7//a8f2uuga6iORSnmalCx3Pi3pSZHRJs84s34Xtb0a4dy+KWa2VajRxI3GA7pyftt+8l7x/1OW0DPKd5Oa9ETufGrSE/QVLPQFcGTNbuq0aYh7h6ZUtqtC7aZutBrchRNbDpQrN/pG+kilUp4kyrtJSXyCYcWXj+TKTMvg4uELNOrYRJUhlggGxvlekhPkvTxJfIKxEi/GZkZYVK2EVOP549LS1oLkhCdkZ5WuaXtvg6GxPlINKY9fcPM44QnGZorvJxNzQyxt5N1Y21rwOL58uTEyUeYmpdjrSWhqamDnYM2je3GqCLHEeOYm6QU3SQkpmCipNy+iqalBdQdrHt0vn27eRb2JLkf1Rllbk5zwRGmdMVbQ1lQph22NQYGb5Bee3cmJTxQuCAxgbGaIxQturGwteFzOnlH6Bc/vlMSiz28j05d/r8lIyyDk3/L5vUbViDVLRGdJucLZ2ZnU1PzdGZycnLh79y53796VvX/t2jWSkpJwds5fn6FSpUpFRnWEhITIvdbW1lbZbjWmpqZYWVnJYq5UqRKPHj2S6zApHI+xsTFWVlayzg+A7OxsgoODZa/j4+O5ceMGU6ZMoW3btjg5OZGYmPjWsfr4+PD48WO548Xt/VSBhpYmlWracP/STdm5vNxc7l26iWVtO4XXZGdkyTp/niGV5r9+oS+qTKOhpYmVvQ2RF+XdRF68gbVjdYXXZGdkFnEjkeY3g+XJjaaWJta1qnIrJEx2Ljc3l1shN7F1snvptZeOhpCdlU29tg1emq4soqmlSbXaVbl+/nmdyc3NJTQ4jBrOin9tsq9Tndj7cXIdqTF3YzA2M0JTq/zMZNXU0qS6Q1WuBsvXmavBYdi72Cm8ppZrdaJfcPPwbiwm5dBNjdpVufyCmyvnwqhVp3i/Uubm5HI3/CGmZsWfdloWeObmyrmibhxew01UOXVTvXZVriioN6/j5m74Q0zKkRtNLU3sHKpy7f/s3XdYFNcaBvB3lyoiLKAI0pEu2AXBBFFRLBg0aowl9hg10STGHo2m3GCLGlvsvVcsKGiMaGygCLFixw5IXYrUnfsHuLIwxxKzM7B+v/vs84SZ2dlv33vOGTxMeYuxxoVnrEnS0LHGzsUa1ytkk3DxFhwZ2Th5OiClQjbJj55p5DHKysUat+Iq/F4TdxN2HvavfO+lk6W/1zQN1Lzfa9RNouZXdUCTJdVQWloa2rZti02bNuHSpUu4d+8edu7cidmzZyMkJAQAEBgYCC8vL/Tr1w8XL15ETEwMBgwYgNatWysvW2nbti0uXLiADRs24NatW5g+fTquXLmi8ln29vaIjo5GYmIiUlNTX3vmCMvy5csxcuRIHDlyBHfu3MHVq1cxceJEXL16FV27dgUABAQE4NmzZ5g9ezbu3LmDJUuW4PBh1Ud7ff3115g5cybCwsKQkJCAUaNGITMzU7nexMQEZmZmWLFiBW7fvo2//voLY8eO/Vc1l6enpwcjIyOVl56eMDeIatS1Da79eQYJx6OR/igJJ5bvQHFBAdzals6Q//n7BpzdtF+5vV1zT1yJPIVbp2IhT07Fw/gERG8Nh11zT5W/PGgC725tEB95BpeORSP1YRIOL92BovxCNAwsvVRr/28bcXzdy2ycvD1x8dApXD0Ri8ykNNyLS8DJTeFw9ta8bD7sEYCYQ2dx4UgMkh8kYe/CnSjML0TzoNJsts3ehMOrD1R6X0xENBr4eaGmUU2hSxZE+14B+PvgOZyJiMHT+8nYPH8XCvML0apTaS5rft2MPStePqazdYgfcrPzsH3RXiQ/TMGls1dxaPOfCOj2gVhfQW06fdoaUQfO4eTh83icmIy1c3eh4HkhWnfxBgAs+3kLti97mU1gNz/kyPOw8fcwPH2Qgrgz17B/459o/3Ersb6C2nT51B9/7Y/GiUPn8SgxGavm7EZBfiECgkuzWfzTFmz54+VjRXetOYJ/om8g+XEa7t54hEU/bsazpAy0/ciH9RHVVnAffxzbH42o8LJsZlfI5sct2LK0XDarVbNZWJZNOw3Mpny7eZyYjNVl7aZ1WTZLftqCreXaze5y7ebejUdYrKHt5sVY83fZWLOubKzxZ4w17crGmk1lY0182VgTqIFjTftPWuNk+DmcjjiPJ4nJ2DSvNJtWnUqzWf2/Ldhd7hgV0M0PufI8bFsYhqSHKbh09hrCN/2JNt01L5vWPQIQfegszh+JQfL9JOwp+72mRdnvNVtnbcIhxu81nq009/caol6aM+X4HjE0NISPjw/mz5+PO3fuoKioCDY2Nvj8888xZcoUAKWXlezbtw+jR4+Gv78/pFIpOnbsiEWLFin3ExQUhGnTpmHChAnIz8/HkCFDMGDAAFy+fFm5zbhx4zBw4EB4eHjg+fPnuHeP/ykjr+Pt7Y1Tp05hxIgRePLkCQwNDdGgQQOEhYUpbxLr7u6OpUuX4tdff8XPP/+MHj16YNy4cVixYoVyP9999x2ePn2KgQMHQiqVYsiQIejevTuysrIAlF7Ks23bNowZMwaenp5wdXXFwoULlY9Dro6cP2iGfHkOYraGIy8zG7UdrBA8bZTyMpyc1AxIpC/nZ5v3CoJEAkRvOYjc9CzUMDKEfXNP+PQLZn1EteXh3xR5WTk4uekQcjPkqOtojd4/jYRh2SmZ8meq2XzwaRAkEglObgpHdloWDIwN4eTdAAGfaV42jQOaIjcrF0c2HEZ2hhz1HK0w9H9fKG/6mpmSUeksm5SHyUi8chfDQkeKUbIgWrRtguzMHOxfGwF5uhzWTlYYM/sL5U1f05NVczE1N8HXc0Zgx+Iw/DhkDmR1jNGuhz869mkn1ldQm5btmkCemYPdqyKQlS6HnZMVJvw2XHn6d2qyan8yq2uCifO+wKaFYZgyaC5MahsjqJc/uvZrK9ZXUBu/wCaQZ+Zix8pIZKbLYe9shcnzPldeTpGWnKk8gw8AcrOfY8XMnchMl6NmLQM4ulrj5+WjYe1Q+Wbp1Z1fYBPIM3KxY1UkMtNKs5ky/2U2qcmZKu0mJ/s5ls/cicy0smzcrPHLCg3OJjMXO8vajZ2zFSbNe3U2Kyu0m580sN20bFc6Dr8Ya2ydrDC+3FiTxjPWTJj3BTYvDMP35caaYA0ca7zbNkFOZg72rSk9Rtk4WeGbOeWySVHNxtTcBN/O+QLbl4RhxpDSbAJ7+KNTX83LpnFAU+Rk5iJyfdnvNfWtMOzXl7/XZDB+r7l35S6Gz9Tc32vUSVpdTv9QIwlX8SYRhJA39vvVI2KXUCV93aAD1t+KfP2G75mBzkHYd//w6zd8D4XYdcKJp4fELqNKam3ZGeefhb9+w/dQizpdEJ928PUbvmcamwXjn3TKhU8j02DEUZvh1cQsGDE01vDyrtMFfydRNnw+tOiCAw/od5uKutp2EruEd/Ykr/KZOv+legZd1br//4JmnXdO3jtRUVGQSCQql+IQQgghhBBCCPn36J4lADhCBJKSksKNGDGCs7Gx4XR1dbm6detyHTp04E6dOvWv93n8+HEOAJeRkfHfFVoFbdq0iWvTpg3n6enJ9ezZk/vnn3+Y2968eZP76quvuDZt2nAuLi7c2rVrhStUBJQNG2XDj3Jho2zYKBs2yoaNsuFHubBRNmyUjbCe5O5X66s6oHuWEMH06NEDhYWFWL9+PRwdHZGcnIxjx44hLS1N7NL+tYKS82r/jIjD5xAaugzTpg+GV0MnbNoYgSFDB2J/+ByYmRlX2l6eeweWVtpo16Eb5szchGLuoSB1lqen1QKFitjXb/iOIg6dRWjoH5g2YwgaNnTCxg2HMWToQBw49BtvNtl5d1DPWgeBHbpj9sxNKOEeCVLnC7rSZihSxAnyWYcPnUFo6FL8MGNYWTaHMHToIBw4NO8V2egisEMPzJ65AQrusWC1AoCOtAmKFPFq/5zSXJaU5eJcLpf5jFxuo561XoVc1F9neTrSxpQNQ2k26m+n1bM/0VjDR0faRLBxvzoeowoVF9T+OaW5LCvLpT42bogoy2XuG+byUJA6y9OVNqff+Rj0tFqgoCRG7Z9Tms3ysmzql8tmNiObu2XZhGDOzM0o5h4IUucLelregn2WukgkdLcOugyHCCIzMxN///03Zs2ahTZt2sDOzg7e3t6YPHkyPvroIyQmJkIikag8KjgzMxMSiQRRUVHKZYcOHYKLiwtq1KiBNm3aIDExUeVz0tLS0KdPH1hZWcHAwABeXl7YunWryjYBAQEYM2YMJkyYAFNTU1hYWGDGjBnq+/LvaMO6w+jRqw26fdwa9Z2sMG36YNTQ10PYnhO823t61cd34/uiU2df6OrqCFytsDasP4Qevdqg+8cBqO9kjR9mDEUNfT3sfWU2/dCpix90dTV7rnjD+nD07NW2XDbDoK+vi717oni39/Kqj3Hj+6OzhmdTmks7dP+4TYVcjvNu7+XlVJZLq/egP1E2LNSf2CgbNjpG8duw/nBZLq3LchnyBrn0RacuvhqdC0C/871KaTYB6Paxf4VsTvJu7+nliO/G93kvsiHqQ5MlRBCGhoYwNDREWFgYCgoK/tU+Hj58iI8//hhdu3ZFfHw8hg0bhkmTJqlsk5+fj2bNmiE8PBxXrlzB8OHD8dlnnyEmRnUmef369ahZsyaio6Mxe/Zs/PTTTzh69Oi//n7qUlRYjOvX7qFlywbKZVKpFD6+DfBP/G0RKxNfUWExrl29h5a+nsplUqkULX098U/8LRErE9/LbLyUy0qz8cI/8TdFrExcpbncZeRCbYay4Uf9iY2yYaNjFD/KhY1+52MrzSaRshEY3bOEJkuIQLS1tbFu3TqsX78eMpkMrVq1wpQpU3Dp0qU33scff/yB+vXr47fffoOrqyv69euHQYMGqWxjZWWFcePGoXHjxnB0dMTo0aPRsWNH7NixQ2W7hg0bYvr06XB2dsaAAQPQvHlzHDt27L/4qv+pjMxslJQoYFZb9fRCMzNjpKZmiVRV1aDMxqxyNmmpmeIUVUVkZMqZ2aS+x9lQLmyUDRtlw0bZsNExih87FyOk0e819DsfAzsbo/d+rCHqRZMlRDA9evTAkydPsH//fnTs2BFRUVFo2rQp1q1b90bvv379Onx8fFSW+fr6qvxcUlKCn3/+GV5eXjA1NYWhoSEiIyPx4MEDle0aNmyo8rOlpSVSUlKYn11QUAC5XK7y+rdnyBBCCCGEEEJIVSaRqPdVHdBkCRGUvr4+2rdvj2nTpuHMmTMYNGgQpk+fDqm0tCly3MsbCRUVFb31/ufMmYPff/8dEydOxPHjxxEfH4+goCAUFhaqbKejo3rtokQigUKhYO43NDQUxsbGKq/Q0NC3ru9tmchqQUtLWumvLWlpWahdu/LNrN4nymzSKmdjVlsmTlFVhInMiJlN7fc4G8qFjbJho2zYKBs2OkbxY+cir3TWwPuGfudjY2cjf+/HGqJeNFlCROXh4YHc3FzUqVMHAPD06VPluvI3ewUAd3f3SvceOXfunMrPp0+fRkhICPr3749GjRrB0dERN2+++3XTkydPRlZWlspr8uTJ77zf19HR1Ya7hwOiz11VLlMoFIg+dxWNGjup/fOrMh1dbXg0qJzNuXNX0aixs4iVie9lNleUy0rbzRU0auwiYmXiKs3FEdHnLiuXvcyF2gxlw4/6Extlw0bHKH7sXGisod/52EqzsUf0uWvKZZSN+tE9SwDNvqU0qTLS0tLQq1cvDBkyBA0bNkStWrVw4cIFzJ49GyEhIahRowZatmyJmTNnwsHBASkpKZg6darKPkaMGIHffvsN48ePx7BhwxAbG1vpEh5nZ2fs2rULZ86cgYmJCebNm4fk5GR4eHi8U/16enrQ09OrtLyg5J12+0YGDOqEqZOXw8PTAV5e9bFpQwSePy9At+6tAQBTJi1DXXMTfD22N4DSm2DdufO49L+LipGSnI6E6/dhYKAHWzsL9RcsoAEDO+P7ycvQwNMRXl71sXHDYTx/nv8ym4lLYV7XFN+M/RTAi2welf53UTFSUtKRcD0RBgb6GphNF3w/+Q808HSEp5cTNm04pNJuJk9cAvO6pvh2bB8AFbMpQbKGZlOay1I08KwPT6/65XIJAABMnri4LJe+ACq3meSUDI3MBaBsXoX6Extlw0bHKH4DBnbC95OXo0HZ7zUbK/5eM/EPmNc1eUUuGjzW0O98TKXZrCjLxhGbNkSWZeMP4E2yySjLRh+2dnVF+x6keqHJEiIIQ0ND+Pj4YP78+bhz5w6KiopgY2ODzz//HFOmTAEArFmzBkOHDkWzZs3g6uqK2bNno0OHDsp92NraYvfu3fj222+xaNEieHt749dff8WQIUOU20ydOhV3795FUFAQDAwMMHz4cHTr1g1ZWdX3xlgdO7VERrocSxftRmpqFlzd7PDH8gnK01WTnqZCKn05P5vyLAOf9Phe+fP6tYewfu0hNG/hhjXrp1baf3XWsbMv0jPkWLJwF1JTM+HmbodlKyYpT1d9+jQNEunLE+hSnmWg18dTlD+vWxOOdWvC0byFO9ZumCZ4/erUqbMfMjLkWLxwZ4VsZACAp5XaTTp6fvzy6VLr1hzEujUH0byFO9ZtmC50+WrzMpcdZbnYY9mKyeVySVNeFgi8yGWi8ud1aw5g3ZoDaN7CQ6NyASibV6H+xEbZsNExil9pLtlluWSV5TKxQi6qv9f0+vjl7zWquWjY7zX0Ox9TaTbZ5bKxxR/Lx5fLJo0nm5cZqGbzfaX9k8roEhRAwpW/SQQh5K0UlJwXu4QqSU+rBQoVsWKXUeXoSpuhSBEndhlVko60CYoU8WKXUSXpSBtTNgyl2VCfqqi0P1EufHSkTej4xKArbYZCxQWxy6iSdKXN6Xc+Bj2tFigoiXn9hu8ZPS1vsUt4Z2n5+9W6fzP9j9S6//8CnVlCCCGEEEIIIYQQperyxBp1orNrCCGEEEIIIYQQQsqhy3BIlSN5zTTm9OnTMWPGDGGKqQLOnz+P1atX48qVK3j27BmWLFmCwMDAV74nOjoaM2fOxK1bt2BpaYmRI0fi448/FqhiYW3evBmrV6/Gs2fP4ObmhmnTpqFhw4bM7detW4etW7fi6dOnMDExQVBQEL777jveG/hWd2+bjVwux/z583H06FFkZmbCysoKU6ZMQevWrQWsWv0oFzbKho2yYXubbD777LNKT7YDgNatW2PFihXqLlVwlA0/yoWNxhq2t8lmz549lZ5cqauri8uXL/NuTypLLzig1v2b6nVV6/7/CzRZQqqcpKQk5X9v374dP/zwA27cuKFcZmhoCENDQzFKq2TUmeNq/4zUS1eQdesOatnb4vLi5Wg4egTqNG3M3P75s1Scm/oTrNv4o55/K6RfS8CtrTvR6JsvYebVQO31AsBSvzZYdv2I2j/nxqlYRC7YhHYje8PCxQ4X90fh1pk4DFoyDQayWpW2TzhxAUcWb0aHr/rB0s0BmU9SELlwE1w/bIbWQ9Q/mTTCvQOOPD6k9s8BgNjjcdg0czN6f9MLdu52iNp9AnEn/sG09ZNRy6RyNsVFxZg/ZiEMZYYI6hcI49oypCeno4ZhDVjXt1J7vR2sOuNsSrjaPyf6WBxW/m8LBn7XC44etjiy8yTOH/8HM7dMghEjl/+NWoRaMkN0/SwQsjrGSEtKh0GtGrB1Un8uAOBr3gXRAmRz7lgcVvxvCwZ91wv1PWwRufMkYo7/g9mvyObnUYtgVJaNiQjZ+Jh3wV9P1N+nLvwVh/UzN6PPt73g4G6Hv3adQOyJfzBjw2RmNnNHL0QtmSE69guErI6sNBvDGrAWIJu29Tpjx90ItX8OAFw+cRG7527CR6M/gbWrPc6GReHKqXh8vfJ7GPKMw3nZuSgpKlH5eemo2Qj55lM0be+j9no/cexI2TB84tgRBx4cVvvnxEddxNbZm9FjzCewdbfD33tO4NLJeExYM4X3+JQnz0VxcYnKz/O+mINeY3ujRZD6cwGArradcP6ZMOPwsl+2YPC4XnDysEXEjpOIPv4P5mydBGPGWPPjyEUwMjFESNk4nFo21tg5CzMOt6jTBdczD6r9c04djcOCH7di5MSecGlgi/3b/saZv/7Bkh0TITOtnM2xgzFYPW8flux8eSNyCSSQmVXeVh3cZcGCfI46ZRSo9/9XE72qnxFdhkOqHAsLC+XL2NgYEolE+bO5uTnmzZsHa2tr6OnpoXHjxoiIUP2l58yZM2jcuDH09fXRvHlzhIWFQSKRID4+XrnNiRMn4O3tDT09PVhaWmLSpEkoLi4W+Ju+mdoNPVG/RwjMmzV5o+0fHz+JGnVqw/nTnqhZzxI2gW1Qp3lTPDhyTM2VCu/ivuPw7OCLBu1awszGEoEje0NbTxdXjp3l3f7Jjbuo5+YIt9bNYVzXDHZN3OH6YTMk3bovcOXqd3xnFHw7+6JlJx9Y2lug97e9oKuni7OHo3m3P3c4GnnyPAz/eSgcPR1hZmEK50ZOgkyUCCly+wm07toSH3bxhpWDBQaO6wldfR2cDOe/Od3J8BjkyPMwJnQInBs6oI6lKdyaOAk2GSCkiO0nENC1JfzLshk0rif09HVw4hXZ5Mrz8HXoELhoeDbHdkahVRdf+JX1pz5je0FXn92fzhyORm52Hkb8MhT1vUr7k0tjJ0EmSoR2Zm8UmnfyQ9MOLWFuZ4Guoz+Bjp4uLh45x7u9Qa2aqGVqpHzduXgDOno68PywsbCFC4Cy4XdidxR8OvnCu6MPLOws0OPrXtDR08X5SP7+ZGBUE0amRsrXzYs3oKOvg4b+jYUtXACHt51Am64t0bpsHB48vmwcPsg/Dp8oG4e/LTcOuzdxEmyiREj7tp5Eh5CWaNfVGzaOFhg5qQf09HVw7MArbi4rAUzMjJQvoSZKiOagG7ySauX333/Hb7/9huXLl6NJkyZYs2YNPvroI1y9ehXOzs6Qy+Xo2rUrOnfujC1btuD+/fv45ptvVPbx+PFjdO7cGYMGDcKGDRuQkJCAzz//HPr6+hpxeU/Wnbsw9XBTWWbm6YGbW3eIVJF6lBQVI/nOQ7To0V65TCKVwraRK57eSOR9Tz1XRyREXUDSzURYuNgjMykViRevwb11C4GqFkZxUTEe3nyE9n1fXq4llUrh2swZidf4J4Yun7kK+wb22PH7Llw+cwWGxoZo1q4p2n/aDlItzZhXLy4qRuLNR+jSv51ymVQqRYPmLrhzNZH3PfGnr8CpgR02ztuNuFNXUEtmiJaBTdGlX1uNyQV4mU3XCtl4NHfBbUY2F8uy2TBvNy6WZeMb2BTBGpjNg5uPENRPtT+5NXXG3av8/enSmatw9LDHtgW78E9Zf2rRrimC+mhOfwJKs3ly6yE+/EQ1m/qNXfDweuIb7SP2yDl4tW4KXX3NuhSSsuFXXFSMxzcfod2nqrk4N3XB/WuJb7SPmMPRaBzQFHo1NCcXoDSbezcfoetnlY9RzHH41BU4edph/W+7EXvqCoxkhvBt3xRdNWwcLioqxp2ER+gxsK1ymVQqRaMWLrhxmf0Hr/znhfg85BcoFArUd7VG/1GdYetoIUTJGkEi0Zw29G/RZAmpVubOnYuJEyfi008/BQDMmjULx48fx4IFC7BkyRJs2bIFEokEK1euhL6+Pjw8PPD48WN8/vnnyn0sXboUNjY2WLx4MSQSCdzc3PDkyRNMnDgRP/zwA6TS6j0wFGTJYWZkpLJM16gWSp7no6SwEFq6uiJV9t96np0LTqGAgUz1uxoY10LGo2Te97i1bo7n2TnYPmUBwHFQlCjQsOMH8O4VJEDFwsnNyoVCoah0eUAtk1pIfpDC+57Up2lIj7uF5oHNMCJ0OJ49TsWO33ehpLgEnQd2FKJstcvOyoWiRAHjCqfrGpnUwtP7/LmkPElHatJt+LZvirFzPkfyo1RsmLcbJSUl6DZYc9rNi2yMKmRj/Ipsnj1Jx/WybL4ry2Z9WTbdNSibHEZ/MnpVf3qShhtJt+Ad2AxflvWnbb/vQklJCYI1pD8BpZdDKBQKGFbIxtCkFlIf8WdT3qMb95GS+BTdv+mjrhJFQ9nwe3F8qphLLZNaSHnIf+wu70HCfSQlPsUn332qrhJFwzpGGZu+5hh18Tb82jfF+DmfI/lxKtb9thslxSX4eIjmjMPZmaXZVLzcxtjUEI8Y2VjZmWP01N6wc7JEXk4+wjZHYdKwRVi4dTxq15UJUDXRBDRZQqoNuVyOJ0+eoFWrVirLW7VqhX/++QcAcOPGDTRs2BD6+vrK9d7eqs85v379Onx9fVVuJNuqVSvk5OTg0aNHsLW1rfTZBQUFKCgoUFmmiTcE1XQPL99CzK4jaPvFJ7B0tkdm0jNErdqNc9sj0LK35vwD5t/gOA61TAzRZ+wnkGpJYetig6zULBzb/pfGTJb8G5yCg5HMEIPHl+Zi72qDjGdZOLz1uEZNlvwbCgWHWjJDDCnLxqEsm0Nbj2vUZMm/8aI/9fuuNBs7Vxtkpmbh6Pa/NGqy5F3FRp5DXXtLWLvaiV1KlUPZ8IuJOAdLB0vYulEuwMtj1NAJZeOwmw3Sn2UhfOtxjZos+TfcvOzh5mX/8ueG9viq9yxE7j2LfiM6iVdYtULPDq7ef0InRCChoaEwNjZWeYWGhopdFi89YyMUyuUqywrl2dCqoa8xZ5UAQI1aNSGRSpGXqfpd87KyYWBixPueM1sOwj3AG17t/VDbvh6cWjZCq/5dcX73EXAKhRBlC6KmcU1IpVLIM7JVlmdnZMPIlD8bY1Mj1LGuo3Labl3bupCnZ6O4qGrez+dt1TKuCamWFFnpqrnIM7JhzLiOWWZWCxY2qrnUs6+LLA3KBXiZjbxCNlmUDQwZ/Un+mv5kXqE/WdhpVn8CSu8lIZVKkVMhm5yM7EpnDlRUmF+AyycuollQS3WWKBrKht+L41PFXLIzsmHEOHa/UPC8APHH4+DdUfNyAdjHqKz0V4zDtSuPw1Z2dZGVplljTS1ZaTaZlbLJgQnPzV35aGtrwdHFCkmPUtVRItFQNFlCqg0jIyPUq1cPp0+fVll++vRpeHh4AABcXV1x+fJllbNAzp8/r7K9u7s7zp49i/IPgjp9+jRq1aoFa2tr3s+ePHkysrKyVF4VH0dWVRjXd0T6tQSVZelXr8O4vqNIFamHlo426ta3wcNLN5XLOIUCDy/dhKWrPe97iguKKj2aWiIt/VmTngumraMNGxdr3Lz4MhuFQoGbF2/B3oP/r3EOng5IfZwKRblJo2ePUmBkZgRtHc04CVFbRxv2Lta4FntLuUyhUOBa7C3Ub2DP+x5nLwckV8gl6eEzyDQoF+BlNld5snFiZOPi5YCU9yQbWxdr3KjQn25cvAXHBvz9ydHTAc8qZJPyMAXGGphNPWcb3I1XzeZu/E3YuNu/8r1X/o5HSVExGrXVrHtGvUDZ8NPW0YaVizVuxamONbfjbsLOw/6V7710Mh7FRcVoGthczVWKQ1tHGw484/DVV4zDfMeopxo4DuvoaKO+mzUunVfN5tL5W3D1erOzjEpKFLh/5ylMar96Uo68JFHz/6oDmiwh1cr48eMxa9YsbN++HTdu3MCkSZMQHx+Pr7/+GgDQt29fKBQKDB8+HNevX0dkZCTmzp0LAMp/JI8aNQoPHz7E6NGjkZCQgH379mH69OkYO3Ys834lenp6MDIyUnkJdRlOcX4+sh88RPaDhwBKHw2c/eAh8tPSAQC3d+7F1ZVrldtbtfHH82epuLVjN3KfJuHRX1FIOR8L2w7tePdfnTUNaYPLR8/g6l/RSHuYhGPLdqAovwAN2pX+1SliwQac2rhfub1jC09cijiFG3/HIis5FffjE3BmSzgcW3hq1I3QAKBNrwCcCT+H6MgYJN1Pxo4Fu1CQX4iWHUsfs7ghdDP2r3z5SLgPP/JDXnYedi/ei5SHKbhy7iqObPkT/iEfiPUV1CKod2ucOHgOpw6fx5PEZGz4bRcKnhfiw86ll+ut+GULdi57mUubbn7Iledh8+9hSHqQgvgz13Bw459o+3Er1kdUWx3Lsvn78Hk8TkzG+rJs/MuyWf7LFuwol03bbn7Ikedh0+9heFqWzYGNfyJQA7Np1ysApw6ew9mIGDy9n4yt80v7k29Zf1r362aEletP/iGl/Wnn4r1IfpiCy2evImLLn2jdTbP6EwD4dQ9AbMRZxB2NQcqDJBxYvBOFBYXKR93umrsJR9YeqPS+i5Hn4ObrBQOjmgJXLBzKhl/rHgGIPnQW54/EIPl+EvYs3InC/ELlY4C3ztqEQ6sr5xITEQ3PVl6oqaG5AECnT1sj6sA5nCwbh9fOLR2HW3cpHYeX/bwF28uNw4Fl4/DGsnE47sw17N/4J9pr4Dgc0scfR/dF46/w83h4LxnLZu1Gfn4h2gWXZrNgxhZsXPLy8c7bVx1B3LkbSHqchjsJj7Bg+mY8S8pA+4+Eedw00QyaM+VI3gtjxoxBVlYWvvvuO6SkpMDDwwP79++Hs7MzgNKzTw4cOICRI0eicePG8PLywg8//IC+ffsq72NiZWWFQ4cOYfz48WjUqBFMTU0xdOhQTJ06VcyvxpSdeB8XZ81X/nxr2y4AgGWrlvAYNgiFWVnKiRMAqFGnNhp/+yVubt2Fh0ePQ99EBrfB/WHm1UDw2tXN9YNmeJ6Vg7Nbw5GXkY06DlboPn0Uapbd9DX7WYbKmSQ+nwQBEuD05oPISc+CgZEhHFt4wq9f1X/O+9tq1qYJcjJzEL42AtkZcljVt8KoWV8ob+CZkZKhPKsGAEzMTTBq1gjsWRqG0GFzIKttjNYf+6P9p5o1yebTrgmyM3Owd3UEstLlsHWywndzhytvqJeWrNpmzOqaYNxvX2DLojBMHTwXJrWN0b6nP7r0a8v6iGqrZVk2e8plM/412YyvkE2Hnv4I1sBsmrdtgpysHBxcFwF5uhzW9a0wulx/Sq/Qn0zNTTB69gjsXBKGX4bOgayOMdp87I+gPprVnwDAq3VT5Gbl4NimQ8hJl8OyvjUG/DwChmWXVGSlZEBa4Yy+Z4+Scf/qXQz830gxShYMZcOvcUBT5GTmInL9YWRnyFGvvhWG/foFapmUOz5VyCXlYTLuXbmL4TM1NxegdByWZ+Zg96rScdjOyQoTfns5Dqcmq441ZnVNMHHeF9i0MAxTBpWOw0G9/NFVA8fhD9o3QVZmLrauiERGmhwOLlaYvuBz5eOAnyVnqmSTk/0cS0N3IiNNDsNaBqjvZo2ZK0fDhp6G8xaqx9kf6iThOE06+ZyQyjZv3ozBgwcjKysLNWrU+E/3PerM8f90f5piqV8bLLt+ROwyqpwR7h1w5PEhscuokjpYdcbZlPDXb/ge8jXvgmjKhpePeRf89YT6VEVt63XGjrsRYpdRJX3i2JGyYfjEsSMOPDgsdhlVUlfbTjj/jMZhPi3qdMH1zIOv3/A94y6r/n+IyyqMVOv+jXWr/k2INeu8c/Jesbe3x4IFCyot37BhA06dOoV79+4hLCwMEydOhK6uLpYvXy58kYQQQgghhBBSzUgkUrW+qgWOEDUA8MrX9OnT3/kzUlJSuNzc3ErLZ82axdnZ2XF6enqcvb09980333CJiYm821YXmzZt4tq0acN5enpyPXv25P75559Xbn/o0CEuKCiI8/T05IKDg7moqCiBKhUeZcNG2fCjXNgoGzbKho2yYaNs+FEubJQNG2UjrKzCI2p9VQd0GQ5Ri6SkJOV/b9++HT/88ANu3LihXGZoaAhDQ0MxSvuP3Xz9Ju/o0KG/MWHCPPz445do1MgF69fvR0TEKURELIOZmazS9hcvXkf//pMwduxAtGnTAgcOnMCqVbuxZ88CuLi82R3D350LKBs+wuQCUDYs1S8XgLJ5FcqGH401bJQNG/UnNsqGjbLh5yLAZ6iXvOhPte7fSCdQrfv/L1ST819IdWNhYaF8GRsbQyKRKH9etmwZPvhA9YkACxYsgL29vfLnQYMGoVu3bpg7dy4sLS1hZmaGL7/8EkVFRcptyl+Gw3EcZsyYAVtbW+jp6aFevXoYM2YM77YAMG/ePHh5eaFmzZqwsbHBqFGjkJOTo5Ys3tXatWH45JMg9OgRCCcnW/z44yjo6+th9+6jvNtv2LAfH37YFMOGfYz69W3wzTf94eFRH5s2ad71pJQNG2XDj3Jho2zYKBs2yoaNsuFHubBRNmyUDREDTZaQKuv48eO4c+cOjh8/jvXr12PdunVYt24d77a7d+/G/PnzsXz5cty6dQthYWHw8vJi7lsqlWLhwoW4evUq1q9fj7/++gsTJkxQ0zf59woLi3D16m34+TVSLpNKpfDza4y4uBu874mPT4Cvb2OVZR980ATx8QnqLFVwlA0bZcOPcmGjbNgoGzbKho2y4Ue5sFE2bJSNOCRq/l91QJMlpMoyMTHB4sWL4ebmhuDgYHTp0gXHjh3j3fbBgwewsLBAYGAgbG1t4e3tjc8//5y572+++QZt2rSBvb092rZti19++QU7duxQ11f51zIy5CgpUcDMzERluZmZDKmpGbzvSU3NRO3aMp7tM9VUpTgoGzbKhh/lwkbZsFE2bJQNG2XDj3Jho2zYKBsiFposIVVWgwYNoKWlpfzZ0tISKSkpvNv26tULz58/h6OjIz7//HPs3bsXxcXFzH3/+eefaNeuHaysrFCrVi189tlnSEtLQ15eHu/2BQUFkMvlKq+CgoJ3+4KEEEIIIYQQUgXRmSU0WUJEIJVKUfG+wuXvRfKCjo6Oys8SiQQKhYJ3nzY2Nrhx4waWLl2KGjVqYNSoUfD39+fdb2JiIoKDg9GwYUPs3r0bsbGxWLJkCQCgsLCQd/+hoaEwNjZWeYWGhr7R930XJiZG0NKSIi1NddY8LS0TtWub8L6ndu3Ks+al28vUVKU4KBs2yoYf5cJG2bBRNmyUDRtlw49yYaNs2CgbsUjV/Kr6qkeVRKPUqVMHSUlJKhMm8fHx77zfGjVqoGvXrli4cCGioqJw9uxZXL58udJ2sbGxUCgU+O2339CyZUu4uLjgyZMnr9z35MmTkZWVpfKaPHnyO9f8Orq6OmjQwAlnz15SLlMoFDh79h80aeLK+57Gjd1w7tw/KsvOnIlH48Zuaq1VaJQNG2XDj3Jho2zYKBs2yoaNsuFHubBRNmyUDRELTZYQwQUEBODZs2eYPXs27ty5gyVLluDw4cPvtM9169Zh9erVuHLlCu7evYtNmzahRo0asLOr/GgwJycnFBUVYdGiRbh79y42btyIZcuWvXL/enp6MDIyUnnp6em9U81vavDgbtixIxJ79x7DnTsPMWPGUjx/no+PPy593NaECfPw22/rldsPGPAR/v77Itas2Ys7dx5i0aItuHLlNvr3DxakXiFRNmyUDT/KhY2yYaNs2CgbNsqGH+XCRtmwUTbCk0gkan1VB9piF0DeP+7u7li6dCl+/fVX/Pzzz+jRowfGjRuHFStW/Ot9ymQyzJw5E2PHjkVJSQm8vLxw4MABmJmZVdq2UaNGmDdvHmbNmoXJkyfD398foaGhGDBgwLt8LbXp3PlDpKdnYeHCzXj2LAPu7o5YtepH5WmHT58+g1T6csBp2tQdc+eOw4IFmzBv3gbY29fDkiXfC/RMeWFRNmyUDT/KhY2yYaNs2CgbNsqGH+XCRtmwUTZEDBKu4s0jCCFv4abYBVRRLqBs+FAubJQNG2XDRtnwo1zYKBs2yoaNsmGjbPi5iF3AO8stPqnW/dfU9lfr/v8LdBkO0Wjr1q2DTCYTuwxCCCGEEEIIIdUIXYZD3klAQAAaN26MBQsWqCxft24dvvnmG2RmZopSl3CEmTXevHkzVq9ejWfPnsHNzQ3Tpk1Dw4YNmduvW7cOW7duxdOnT2FiYoKgoCB89913gt1npVTVy6aoqAjLly9HWFgYkpOT4eDggHHjxsHfX8iZbeH+0kDZ8Kt+uQBVMZvPPvsMMTExlZa3bt36nS6rfHtVLxsAkMvlmD9/Po4ePYrMzExYWVlhypQpaN26tSD1VtWxZs+ePZVukK6rq8t7Q3b1qZrZlBceHo6xY8eiXbt2WLp0qQCVvlA1+9ML4uUCVMVsqkZ/AigbzVRdHu+rTjRZQsg7mH3pqNo/4+7pWJxYvBGthveGj5M9roYfR79BA9Dz9x9Qw7hWpe3v/H0ef/+xGR+O7AdvV0dkPU3BziUbcSH1AVoO6qH2egFgQsP2+P7CMbV/zsOzF3B+2QY0HdIHDerb41bEX+g7cACC5s6APk82l7buxYPTMWg2rB8a1LNA8qVr+GLUKLSZMQ4m9jZqr/d/zdthXPRfav8cAHh87gLiV6yH16A+cK7vgLuRpdm0mT0DekZGlba/tn0vHp+JRsMh/eFsWRfPLpdm88G08TAWIJu5Pm3xa7z6+9O9M7E4tWQjWg7rjebO9rh2qLQ/dZvP359iN4fhzt/n4fdFX7SoVxeP/7mOEaNGodPPY2HmoP5cAGBK4/bYcidC7Z9z5cRFhP22CV2++gTWbvY4FxaFzwYPwFcrvkdNWeVsAr7rhg+Luip/zsvOxbIvZ0PW1EqQegGgb/2OOJsSrvbPiT4Wh5WhWzDwu15w9LDFkZ0nMXDwAMzcMglGJpWzKS4qxv9GLUItmSGGz/gUsjrGSEtKR5LODZxNyVF7vb7mXZCQeVDtnwMAfx+Nw4LQrRg5sSdcGtjiwLa/MWjIACzdMREy08rZPM2Lh0FNfSzdOVG5TAKJYPW6yYJxR35AkM86cSQev4VuxVeTesDN0xZhW//G4CEDsGLXBN5sXkh+ko7/zVyCBk0ckFucJFi99Y264rYAn3WyXC6uZbkM+he5CFHrC05GXXE1Q/1t9NTROCwM3YovyvrTwbL+tGg7f396nFvanxbtUO1PQtT6QgOTYMSnqf/zzvwZhyWhWzFsfE84N7DFoe2l2czfOhHGPNk8yIlHjZr6WLDtZTaQSASpFQAam9GNZDUBXYZD1K64uBhjxoyBTCaDmZkZJk6ciIEDB6Jbt27KbSIiIvDBBx8otwkODsadO3eU6xMTEyGRSLBnzx60adMGBgYGaNSoEc6ePavyWevWrYOtrS0MDAzQvXt3pKWlqay/c+cOQkJCULduXRgaGqJFixb4888/1fr939WVg3/BtZ0fXNr4wsTGEq2GfwptXV3c/Oss7/bJN+7B3NUR9T9sgVrmZrBu5A7HVs2Revu+wJWr383Df8GhTSvYt/aFkbUlmg7pAy09XSSeOMO7/YNTMXD7qCMsG3vC0Lw26gf6w7JxA9w6VLXbwL9xN+IYbANawdbfD7WsLNFwUGk2D07wt5tHp6Ph1LUj6jbyRE3zOrBv1xrmjRrgToRmZXMt/C84t/ODcxtfyKwt4TvsU2jp6uL2cf5c7vwdg4bdO8C6SQPUqlsbbh0+hFUTD1w7KMykl5DO7Y1C045+aNKhJerYWiD4q0+go6eLuCPneLevUasmDE2NlK+7cTego6cDjw8bC1u4ACK3n0Drri3xYRdvWDlYYOC4ntDV18HJ8Mpn1gDAyfAY5MjzMCZ0CJwbOqCOpSncmjjB1slK4MrVb9/Wk+gQ0hKBXb1h62iBkZN6QE9fB38e4M8GACQSwMTMSPmSmbH/gVyd7d1yAh27+aDDR6XZfDW5NJsj+88z31NSosDsaVvQf3gHWNarfJN6TfAil/blctF/g1zmTNuCfsM7wEJDcwGAA1tPon1IS7QL9oaNgwW+mFjaZv46yO5PeE/6U/i2k2j3UUu0CfaGtYMFhk3oAV09HRx/RTYSCSAzM3r5esVkHOEjVfOr6qseVZJqbdasWdi8eTPWrl2L06dPQy6XIywsTGWb3NxcjB07FhcuXMCxY8cglUrRvXt3KBQKle2+//57jBs3DvHx8XBxcUGfPn1QXFwMAIiOjsbQoUPx1VdfIT4+Hm3atMEvv/yi8v6cnBx07twZx44dQ1xcHDp27IiuXbviwYMHas3g3yopKkbq3Yeo1/DlM+QlUinqNXRFys17vO+p6+qAtLsP8exWIgBAnpyKh3FXYd20gRAlC0ZRXIzMew9g7qmaTV1PN6Td4s9GUVwMLV3VE+q0dHWQeuMO7/bVlaK4GFmJD1C7gZtymUQqRW0PN2Tcvsv/nqJiaOnoqCzT0tVF+s3baq1VSCXFxUi7+xD1vCr0Jy9XPGO1GZ5ctHV1kaxhbaakqBhPbj+EY+OXp1JLpFI4NnbBo4TEN9pHXOQ5eLZuCl19IS/3U7/iomIk3nwEj2Yvs5FKpWjQ3AV3ribyvif+9BU4NbDDxnm7MeajH/D9gNk4sOFPKEoUvNtXV0VFxbiT8AiNvJ2Vy6RSKRq1cMGNy+wJ+ufPCzEs5BcM6foT/jduDR7cTRKiXEEVFRXjdsJjNPZWbTeNvZ2R8Ipstq46CpmpIYJCfIQoU3CUC1tRUTHu3HiEhi1U+1PD1/Sn/OeFGN7tF3z+0U8IHa+Z/am4qBh3bzyCV3PVbLxauODWlVdn82X3XzCq20+YM2ENHmpgNkS96DIconaLFi3C5MmT0b17dwDA4sWLcejQIZVtevRQvTxkzZo1qFOnDq5duwZPT0/l8nHjxqFLly4AgB9//BENGjTA7du34ebmht9//x0dO3bEhAkTAAAuLi44c+YMIiJeng7eqFEjNGrUSPnzzz//jL1792L//v346quv/tsv/h/Iz84Bp1BUujyghrERsh4n876n/octkJ+di4PT5oMDB65EAbf2H6Dxx0FClCyYgrJs9I1VLynRM6oF+RP+bOp6uePWob9Q280Zhua1kXL1Bh6fjwen0KyHghWWZVPxchs9YyPkPOXPxtzLHXcijsHU1Rk1zWsj9doNPL0QB2hQNgXyF21GtT/pGxshi9Fm6jVyx9Xwv1DX3Qm16tbG0ys3cD9G89pMnjwXnEKBmhUuKakpq4XUhymvff/jG/eRcv8pPvqmj7pKFE12Vi4UJYpKp3kbmdTC0/v82aQ8SUdq0m34tm+KsXM+R/KjVGyYtxslJSXoNlhzxmJ5Zmk2Ff9aKzM1xCNGNlZ25hg9tTfsnSyRl5OPsM1RmDhsERZtHY/adWUCVC2MF9mYmBqqLJeZ1sLDRP5srsbfQ+T+GCzePFaIEkXxss28XS5H9sdgkQbnAgDZrP5kYojHjGys7Mzx5fcv+9O+zVGY8vkiLNg6HrXNZQJULYwX7abiOGxsaognjLGmnq05RkzpDbv6lsjLzceBLVGY9sUi/LZ5PMw0KBt1onuW0JklRM2ysrKQnJwMb29v5TItLS00a9ZMZbtbt26hT58+cHR0hJGREezt7QGg0hkf5W/iZGlpCQBISSkdJK9fvw4fH9W/OPj6+qr8nJOTg3HjxsHd3R0ymQyGhoa4fv36a88sKSgogFwuV3kVFBS8QQLCe3r1Jv7ZEwm/z3uj26yJaDfuczy8eBVxuw6LXZroGg/oBUOLOogc9yP2DByDuPXbYe/vW3qe5nuuQf9PULOuOY5PnIHwIaNxecM22H5I2XgP6gkjC3OEffszNvb7BtFrdsIpoCUk73kuFV08cg7m9pawcrUTu5QqgVNwMJIZYvD4T2DvagOfdk3Q9bNAHA/jv0TwfeLmZY+2nZvD0cUKnk3rY9KsQTAyqYnIvfyXwr0v8nLzMXf6FoyZ0hPGsppil1Nl5OXm4zfKhcnVyx5tOjeHg4sVGjStjwll/enIe96fAMDFyx6tOzWHvYsVPJrUx3ehg2Akq4k/wygb8ubozBLyToyMjJCVlVVpeWZmJoyNjd94P127doWdnR1WrlyJevXqQaFQwNPTE4WFhSrb6ZQ7Hf7FP1YqXqrzKuPGjcPRo0cxd+5cODk5oUaNGujZs2elz6koNDQUP/74o8qy6dOnw+DjVm/82f+Gfi1DSKRSPM/KVln+PEuOGrLKN+kEgNht4XDy94ZrOz8AgKmdFYoLCnBq+VY0/jgIEqlmzJHqlWWTnyVXWV4gz650tonyPUa14Dd2BEoKi1CYkwt9E2Nc3hYGQ/PaQpQsGN2ybArkFbLJkkPvFdl4f6OazfUdYTDQoGz0jF60GdX+lP+K/qRvVAttxw9HSWER8nNyYWBijItb9sGwrmZdM29gVBMSqRS5GarZ5GZmw/A113gX5hfg6omLCOjfSZ0liqaWcU1ItaTISlfNRp6RDWPGvQFkZrWgpa0FqdbL8baefV1kpWejuKgY2jqa8euXkaw0m8wK2WSm58DkDe8NoK2tBUcXKzx9lKqOEkXzIpuMdNUb+mamZ8PUrPJ48/RRGpKfZODH79Yql704gy245QSs3DUBltbVfzx+2WYq52Lylrl0bTkBKzQkFwCoxepPGTlvfB8SbW0tOLhYIUlD+1PFcTgrPeeN70Oira0Few3MRp3oD0N0Zgl5R66urrh48WKl5RcvXoSLiwuMjY1Rt25dnD//8qZdJSUlKu9JS0vDjRs3MHXqVLRr1w7u7u7IyMh461rc3d0RHR2tsuzcOdUbE54+fRqDBg1C9+7d4eXlBQsLCyQmJr5235MnT0ZWVpbKq+LjyNRBS0cbtR1t8PTyDeUyTqHAk8s3Ye7iwPue4oJCQKo6uL2YIOE06MoBqbY2ZA62SLmqmk3KlRswc+bP5gUtXR3UMJWBK1Hg8fl4WDZ7/eMKqxOptjaM7W2RWiGb1Gs3YOLk+Mr3ls/m6fk4WDTVnGy0tLVhxtOfnl65iTpv0GZqluVyPzoets01JxegdKyp52SDu//cVC7jFArcjb8Jazf7V7732t/xKC4qRsO2LdRcpTi0dbRh72KNa7G3lMsUCgWuxd5C/Qb2vO9x9nJA8uNUlcn8pIfPIDMz0piJEgDQ0dFGfTdrXDqvms2l87fg6vVmZxmVlChw/85TmNTmn7CsrnR0tOHkZoV/KmQTf/423HiysbE3x9Kt32Hxpm+VLx9/DzRsVh+LN32rMZcovcgl/i1yWbL1Oyza9K3y9SKXRRqUC1DWn1zfvT89uPOUd+KpOtPW0YajqzUuVxiHr1y4BWfPN8tGUaLAQw3MhqiX5hyxiShGjhyJxYsXY8yYMRg2bBj09PQQHh6OrVu34sCB0ke6jR49GqGhoXBycoKbmxsWLVqEjIwM5WyliYkJzMzMsGLFClhaWuLBgweYNGnSW9cyZswYtGrVCnPnzkVISAgiIyNV7lcCAM7OztizZw+6du0KiUSCadOmvdGZKXp6etDTE+emhZ7BbXFyyUbUrm+LOk72uBJ+HMUFBXBp0xIAcGLRBhiYGqNFvxAAgG1zT1w5eBxmDtYwd7KHPOkZYrcdhG0zL5W/cmoCl05tcX75Bpg42MG0vh1uRZRmY9+69PKrmD/WoYaJDF6fdgMApN2+h/yMTBjb2eB5eiau7QkHFAq4BrcX8Vuoh2PHdohfuR4yB1vIHO1x98hfKCkogK1/aTZxy9dB30QG90+6AQAy7txDfnomjOyskZ+RiZt7wwFOAafOHUT8Fv89jy5tcWrpRpjVt0Xt+va4fqi0zTgFlPanvxeX9qdmfUv707NbichLz4SpvTXy0jMRv+sQOI6D50eBYn4NtWjZPQBh8zajnrMtrFxscW7fCRQVFKJx+9LLG/fO3YRaZsYIHNxV5X1xR87BzdcLBkaae4p8UO/WWPnrVji42cDR3RZHdp5AwfNCfNi59BLTFb9sgUltI/QaUfqoyDbd/PDnnlPY/HsY2vf4AEmPUnFw458I7PmhmF9DLUL6+OP3n7bByd0Gzh62OLDtJPLzCxEYXJrN/BlbYFbHGAO+LL3f2LZVR+DqaQdLm9rIzX6OvZuO41lSBtp/pHk37uzetzXm/bgNzu7WcGlgi31b/0bB80K071o6sTh3+laY1THG4K86Q1dPB/ZOlirvNzSsAQCVlld3fLnkl8vlt7JcBjFyqamhuQBA1z7+WPRzuf60/SQK8gvRtktpf/r9x9L+1H9UaX/asfoIXDztYGFd2p/2bS7tT4EaeCPcLp/6Y+kv21DfzQb1PWxxqCybgLKxZvFPW2Baxxh9R5Zms2vNETg3KMsm5zkOlGXTVgPHGvWhM0tosoS8E0dHR5w8eRLff/89AgMDUVhYCDc3N+zcuRMdO3YEAEycOBFJSUkYMGAAtLS0MHz4cAQFBUFLSwtA6d2st23bhjFjxsDT0xOurq5YuHAhAgIC3qqWli1bYuXKlZg+fTp++OEHBAYGYurUqfj555+V28ybNw9DhgyBn58fateujYkTJ0Je4VKFqsaxVTPky3MQuz0czzOzYWZvhaDvv1ReNpCTmq5ymlzjHh0BiQSxWw8iLz0L+kaGsG3uiWZ9urI+otqy8W2OguwcXNt1EPlZchjbWeODiV8pL8PJS8uARPJygkhRVIQrOw4g91kqtPX0YNG4AbxHDoRuTQOxvoLaWLVsjsLsHNzYcxAFWXIY2VrDZ/xo5WU4z9PSVe5HUlJUhITd+5H3LBVaenqo28gTTb4YBB0Ny8bBr7Q/xe8o7U+m9lYInPyyP+WmpUMiVc0lbvtBZKekQkdfD1aNG+DDLwdoZJvxbN0UefIcRG08hJwMOSwcrdHvpxEwNCnNJutZhko2AJD6KBkPrt5F/19GilGyYHzaNUF2Zg72ro5AVroctk5W+G7ucOXNBtOSM1TGYbO6Jhj32xfYsigMUwfPhUltY7Tv6Y8u/dqK9RXU5sP2TSDPzMWWFZHISJPDwcUK0xd8rrxsIDU5E9Jy7SYn+zmWhO5ERpochrUMUN/NGrNWjoato4VYX0FtWndoDHlmDjYuj0RGWjYcXerhp4XDYFKWzbOkDEjfw9Pc/Ts0RlZmDja9Ipf39fT/D8r609aVkchMk8PB2QrT5pfrT0mZKm0mJ/s5lobuRGZZf3J0s8avK0bDxkHz+pNfYGk2O1ZGIjNdDntnK0ye97nyMpy0CmNNbvZzrJi5E5npctSsZQBHV2v8vHw0rDUwG6I+Eo7TpBPzSXWgUCjg7u6OTz75RGUiozqafemo2CVUSRMatsf3F46JXUaV87/m7TAu+i+xy6iS5vq0xa/x1J/4TGncHlvuRLx+w/dQ3/odcTYlXOwyqhxf8y5IyDwodhlVkpssGHfkB8Quo0qqb9QVtykbXk5GXXE1g/oUnwYmwYhPo2wqamwWLHYJ76ygJEat+9fT8n79RiLTrHPySZV0//59rFy5Ejdv3sTly5cxcuRI3Lt3D3379n3nfScmJkIikSA+Pp65TVRUFCQSCTIzM9/58wghhBBCCCFE80nU/Kr66MwS8s6ioqLQpk0b5npfX19IJBJcuXKl9Fp/T0/MnDkT/v7+7/zZiYmJcHBwQFxcHBo3bsy7TWFhIdLT01G3bt1qe1rn5s2bsXr1ajx79gxubm6YNm2aymOUK5LL5Zg/fz6OHj2KzMxMWFlZYcqUKWjdurWAVQvjbbLZs2dPpRvz6urq4vLly0KUKjjKhh/lwkbZsFE2bJQNG2XDj3Jho2zYKBthFZScf/1G70BPq+rfGJ7uWULemZ+fH54+fVpp+f79+zFixAh8++236NWrlwiVldLV1YWFhXquT7yQqv7Tv8/+GYdloVswZHwv1PewRcSOkxg4ZADmbp0EY5PKj0srLirGjyMWwcjEECN/+hSmdYyRmpSOVN0buJCaw/MJ/73mtbvgn3T1n5J55s84LA7dis8n9IRzA1uEb/8bg4YMwIJtE5X3EijvYW48atTUx+/bJ75cKJEIUisANDINxhWBTuM9fTQOC0O34ouJpdkc3FaazaLt/Nk8yo2HQU19LNzxMhsJJILV62kSLMgpzqfK5eJSIRe+xw8+LstlUYVchDwduwFlw9TARJg+VR370yWBxrXTZePw8Ak94VRuHP79LcZhiUQiWL0NTYMFG/PpGMWvuvUnoLRPXRfg0rZTR+OwIHQrRpaNw/vLslmyg38cfpJXms2SnarZCFHrC+6yYNzMUv/n/X00DvNCt+LLSarZLNvJn03S89Jslu1U7U9C1AoALsbV/zKc6vpH5v8SXYZD3tmLyYjyr4yMDIwbNw5TpkxBr169UFJSgqFDh8LBwQE1atSAq6srfv/9d5X9DBo0CN26dcOvv/6KunXrQiaT4aeffkJxcTHGjx8PU1NTWFtbY+3atZVqSEhIgJ+fH/T19eHp6YkTJ04o11W8DCctLQ19+vSBlZUVDAwM4OXlha1bt6o1o3dxePsJtOnaEq27eMPawQJDxveEnp4OThzkv44w6mAMcuR5+HbmELg2dEAdS1O4N3GCnbOVwJWr38GtJ9Huo5ZoE1yazecTekBXTwfHGdkApfc0lZkZvXzxHGA1wYGtJxEY0hJtg71h42CBLyb2gJ6+Do69IhtIABMzI+XrxQ3lNMmBrSfRPqQl2lXI5a/3PBeAsnkV6k9s5cdhGwcLDC8bh1/VbiQVs9HQcZiOUfyoP7Ht23oSHUJaol1Xb9g4WmDkpLJsDlA2YVtOIqhbSwR29YatowVGlWVz9BXZSCSASW2jly8NzYaoD51ZQv5zmZmZCAkJQUBAgPIGrgqFAtbW1ti5cyfMzMxw5swZDB8+HJaWlvjkk0+U7/3rr79gbW2NkydP4vTp0xg6dCjOnDkDf39/REdHY/v27fjiiy/Qvn17WFtbK983fvx4LFiwAB4eHpg3bx66du2Ke/fuwczMrFJ9+fn5aNasGSZOnAgjIyOEh4fjs88+Q/369eHtXbVuNFRcVIx7Nx7ho8/aKZdJpVJ4NnfBrSuJvO+5eOoKnD3tsO633Yj9+wqMZIbwa98UXfu31ahHBxcXFePujUfoNuDl0yWkUim8Wrjg5pX7zPflPy/EqO6/gFMo4OBqjT4jOsNGw57CUFRUjDs3HqH7QNVsGrZwwc3Lr87mi26l2Ti6WqPvyM4a9YSKF7l8zJPLjdfkMrxcLv00LBeAsnkV6k9sRWXjcPcBPNm8ZhweWW4c7quB4zAdo/hRf2IrKirGnYRH6FEhm0ZvMA5/HvILFAoF6rtao/8ozczmdsIj9KyQTePXZPP8eSGGfFTabuq7WeOzkZ1hV1+zslEvOrNEc/7lRKoEhUKBvn37QltbG5s3b1aevqWjo4Mff/wRzZs3h4ODA/r164fBgwdjx44dKu83NTXFwoUL4erqiiFDhsDV1RV5eXmYMmUKnJ2dMXnyZOjq6uLUqVMq7/vqq6/Qo0cPuLu7448//oCxsTFWr17NW6OVlRXGjRuHxo0bw9HREaNHj0bHjh0r1VIVZGfmQlGiqHRaqpFpLWSlZ/O+J+VJOmKiLkGhUGDC3M/RbVB7HNoWhb3rNetJI/KybCr+1U1maojMNP5s6tmaY+SU3pgwazBGT+8HhYLD1OGLkJaSKUDFwslmZGNsws7Gys4cX37fG5NmD8bXM0qz+f5zzcqGlYvsDXKZPHswvpnRD5yCw5TPFyFVg3IBKJtXof7ExjpGGb9mHB5VbhzmFBy+18BxmI5R/Kg/sTGzMTVEBuN3Pis7c4ye2huT5wzGtz/2g4LjMGnYIqQmZwpQsXBe9CcTnv6UwWg31rbm+Hpqb0ydOxhjfyptNxM0MBuiXnRmCflPTZkyBWfPnkVMTAxq1VId0JYsWYI1a9bgwYMHeP78OQoLCyvdlLVBgwaQSl/O4dWtWxeenp7Kn7W0tGBmZoaUlBSV9/n6+ir/W1tbG82bN8f169d5aywpKcGvv/6KHTt24PHjxygsLERBQQEMDAyY36ugoAAFBQUqy/T09Jjbi4njOBiZGGLYhE8g1ZLCwc0GGalZCN9yHD2GBIldnqhcvOzh4mX/8ueG9vj201k4uvcsPv2ik3iFVQGuXvZwLZeNa0N7fP3pLBzZexZ93uNs+HIZU5ZL3/c4F4CyeRXqT2x82XxD4zAAOkaxUH9ic/Oyh1u5bNwa2uOr3rMQufcs+o14z7NpaA+3hvbKn90b2mPUJ7MQsfcs+r/n2bwpCZ1XQQmQ/862bdswd+5cbNu2Dc7OzpXWjRs3DkOHDsWRI0cQHx+PwYMHo7CwUGU7HR0dlZ8lEgnvMoVC8a/rnDNnDn7//XdMnDgRx48fR3x8PIKCgirVUl5oaCiMjY1VXqGhof+6hjdVS1YTUi1ppbNI5OnZvDdBAwCZWS1Y2NRRueSmnl1dZKZlo7ioWK31CsmoLJvMCtlkpue88fW62tpacHCxQtLjVHWUKJpajGyyMt4+m6ePNCcbVi6Z/yKXJA3KBaBsXoX6ExvrGJVF4zAdoxioP7Exs0nPqXRGBYu2thYcNXAcftGfKp5hk5me88b3IXmRjaa1G6JeNFlC/hPx8fEYOnQoZs6ciaCgymcvnD59Gn5+fhg1ahSaNGkCJycn3Llz5z/7/HPnzin/u7i4GLGxsXB3d+fd9vTp0wgJCUH//v3RqFEjODo64ubNm6/c/+TJk5GVlaXyqvg4MnXQ1tGGg6s1rl64pVymUChwJfYWnD3ted/j4uWA5EepKhNKSQ+fQWZmBG0dzTmZTFtHG46u1rhSMZsLt+DiafdG+1CUKPDgzlOYmBmpq0xR6Ohoo76rNS6fV83m0vlbcPF6s2xKShS4r2HZvMjlEk8urm+Riya3GcqmMupPbDpl4/DlCuPw5bcYh1+0G5mGZUPHKH7Un9h0dLRR3+3dx+H7d57CpLbmZePEk80/F94um0QNbDfqJVHzq+rTnH85EdGkpqaiW7duCAgIQP/+/ZGUlKSyXktLC87OztiwYQMiIyPh4OCAjRs34vz583BwcPhPaliyZAmcnZ3h7u6O+fPnIyMjA0OGDOHd1tnZGbt27cKZM2dgYmKCefPmITk5GR4eHsz96+np8V92w3+Z5H+qU+/WWP6/rXBwsyl7dPAJFOQXonWX0pvR/vHzFpjUNsKnI0sfURbY3Q9Hdp/CxgVh6NDzAyQ9SsW+DX8iqNeH6i9WYMF9/LHk521wdLOBUwNbHNp2EgX5hQgILs1m8Y9bYFrHGH1HdQEA7Fp9BM6edrCwro3cnOfYv/k4niVloN1HPmJ+DbXo2scfi37ehvruNnD2sMXB7aXZtC1rNwvLsulfls2O1UfgUpZNXvZzhG0+jtSkDASGaFY2L3JxKsvlQIVcfv9xC8wYueRmP8e+sjajabkAlM2rUH9iezEO1y8bh8PLxuE2ZePworJs+pVls7N8u9HwcZiOUfyoP7GF9PHH7z+VG4e3nUR+fiHalbWZBTNKx+HPvizNZvuq0mwsbUrH4bBNpW2mvYa1GQDo1tcf838szcalgS32bTuJ/OeFCCzLZt70LTAzN8bAsmy2rjoCV0871LOpjZzs59hblk0HDWw3RH1osoS8s/DwcNy/fx/379+HpaVlpfV2dna4ceMG4uLi0Lt3b0gkEvTp0wejRo3C4cOH/5MaZs6ciZkzZyI+Ph5OTk7Yv38/ateuzbvt1KlTcffuXQQFBcHAwADDhw9Ht27dkJWV9Z/U8l/zDWyC7Mwc7FoVgax0OeycrTDxt+HKy3DSkjNUnoNuVtcEk+Z/gY2/h2HywLkwqW2Mjr380bV/W9ZHVFt+gU0gz8jFjlWRyEyTw97ZClPmf668OVpqciYk0pfZ5GQ/x/KZO5GZJkfNWgZwdLPGLytGw9pB8+6M3qp9E2Rl5mLbytJsHJytMHX+58rTnFOTMlXaTW72c/wRWpqNYVk2/1sxGjYals0H7ZtAnpmLreVymVYhF6lEtc0srZDLrxqYC0DZvAr1J7ZWZePw9nLj8PevGIdzs59jWYVxWFOzoWMUP+pPbB+UZbN1RSQy0uRwcLHC9AUvs3nG02aWhu5ERlk29d2sMXPlaI16gtILH7ZvgqyMXGwuy8bRxQo//v658jKcStnIn2Pxry+zcXK3xuxVozXuSUHqJKkmZ3+ok4TjOE7sIgipri6khotdQpXUvHYX/JN+UOwyqpxGpsG4kkG58PE0CcZVyoZXA8qGqYEJ9Sk+nibBuERjMK+GpsF0fGKgYxSbp0kwrmdSNnzcZcG4mUXZVORiHCx2Ce+sWPGPWvevLW2k1v3/F+ieJYRXVFQUJBIJMjMz32k/9vb2WLBgwTvtY926dZDJZO+0D0IIIYQQQgghb0Yikaj1VR3QZTjvoaioKLRp04a5PiAgAJGRkXj69CmMjY0FrKz6aV67iyCfs3nzZqxevRrPnj2Dm5sbpk2bhoYNG/Jue+TIESxbtgwPHjxAcXEx7OzsMHjwYHTr1k2QWl9oZCrMjPrbZHPr1i0sXLgQV69exePHjzF58mQMGjRIkDpf8DQR7i8Nb5PNjh07EBYWhlu3Sm+e1qBBA4wdO5a5vTo0ECib6pYLUDWzqQr9CRCuT1W3bBoKNAYD1a9PCXV8AqpfNlWxP1WFXIDSMyiEUN3GGkC4syiqY7sh1RtNlryH/Pz88PTp00rL9+/fjxEjRmDUqFHQ1dWFhQVd0/c6Sc/3q/0z/oqMR2joNoz9vgc8vGyxc/PfGDxkADbtmwATU8NK25fo38GnQ5vB1r4TdHS0cPbkdUyZMhnSWrfg7eeq9noBwKLGR3hefEbtnxN5OBqhoavw/fQB8PJyxOaNRzFk6EDsOxgKU567nWfm3IWFlRRt23fF3FlbUaRIFKTOF2po+yG3+KQgnxV5+DxCQ9dgyvT+8PJywOaNf2LI0IHYe/Bn3mzOnDuA9p1cMW5yZ+jq6WDd6ggMHjIAu/b9CPO6Jmqvt6a2P7KLjqn9c44cvoDQ0A2Y/EMfeDa0x9aNf2HI0AHYfWAGTHkeP3j63H4EdnLC2MkdoKerg/VrjmDwkAHYETYN5nVlaq8XAGrptEN+yVm1f07E4WiEhq7E1OkD4dXQEZs3HintT+EzYcbTZrJy78LSSoq2Hbpi7sytKOYSBamzPH0tXxSUnFf750QcPofQ0GWYNn0wvBo6YdPGCAwZOhD7w+fAzKzyHxXkuXdgaaWNdh26Yc7MTSjmHgpS5wt6Wi2QV3xakM+KPBxTNg5/Bk8vR2wpG4fDDv7KGGvC0aGTO8ZP7lo21hzC4CEDsHvfL4KMNQbarZBTFKX2zwGAI4fPIzR0Hab80BeeDR2wZeMxDBk6EHsO/MibzelzBxDYyQXfTe4EXV0drF9TOg7vDJsuSDaGOgHILT6h9s8pPT6txZTp/cqOT8fKjk8/vcHxSRvrVkeWHZ9mCJILANTUbo38knOv3/AdlY7DK8rG4frYvDGybBye9YpxWAttO3yEuTO3oJi7L0id5elrtYS86KjaP+fI4ViEhm7EpB96lx2/j2PI0AHYdeAH3uP3qXP70K5TfXw7uT30dLWxfs1RDB4yANvDvhfk+G2k017tn6F+dBEKJfAeejERUv6VkZGBcePGYcqUKejVq1ely3BeXApz8OBBuLq6wsDAAD179kReXh7Wr18Pe3t7mJiYYMyYMSgpKVH5vOzsbPTp0wc1a9aElZUVlixZorJ+3rx58PLyQs2aNWFjY4NRo0YhJyenUt1hYWFwdnaGvr4+goKC8PDhQwBAVlYWtLS0cOHCBQCljxIzNTVFy5Ytle/dtGkTbGxslD8/fPgQn3zyCWQyGUxNTRESEoLExMT/It7/3I6NJxH8sQ86d2sB+/p18d3Uj6Gvr4NDYTG82zdpUR/+bb1g71gXVja10bPfh3B0tsTluHsCV65+G9cfwcc9/dGt+4eo72SFqdMHQF9fF2F7/ubd3tPLEWPH9UbHzj7Q0dXsueLN64+ie88PEdK9FRyd6uH76f2hr6+LfXv4/wH1v9mf45M+beDqbgsHR0v88NNAcAoOMeeuC1y5em3e8Be69WyFj7r7wrG+JSb/0Af6+rrYv5d/0uyXWYPR69PWcHWzgb2jBab+2L8slwSBK1e/jesi8XGv1uj28Yv+NLCsP/FP8Hl6OWLs+E/RqXNL6Gp4f9qw7jB69GqDbh+3Rn0nK0ybPhg19PUQtof/H5aeXvXx3fi+6NTZF7q6OgJXK6xN6yPxcU9/hJSNw9+/Zhz+dfZwfNKnbbmxZjA4BYfoc9cErlz9Nm34E917foCPureCY/16mPJDv9JxmDHe/G/WUHzyaQBc3Wzg4GiBaT8O0MjxpvT49EG541O/1xyfhuGTPgFwdbcpazOamQsAbFwXUTYO+5eNw4PeYhzW7LFmy4a/0K2nX7nj96dlx2/+SfpfZg1Cr0/94epmXXb87gdOweH8uRsCV06qM5osIcjMzERISAgCAgLw888/M7fLy8vDwoULsW3bNkRERCAqKgrdu3fHoUOHcOjQIWzcuBHLly/Hrl27VN43Z84cNGrUCHFxcZg0aRK+/vprHD36cgZaKpUqTyFcv349/vrrL0yYMKHSZ//vf//Dhg0bcPr0aWRmZuLTTz8FABgbG6Nx48aIiooCAFy+fBkSiQRxcXHKSZcTJ06gdevWAICioiIEBQWhVq1a+Pvvv3H69GkYGhqiY8eOKCwsfOc8/0tFRcW4ef0xmvk4K5dJpVI083HG1Uv3X/t+juMQG30LDxNT0LCpozpLFVxRYTGuX0uEj28D5TKpVAqflh649M9tESsTX2k29+Hj665cVpqNOy79c+eN9pGfX4ji4hIYGddUV5mCKyoqRsK1B/Bp+fIMK6lUCu+Wbrj0z5tNJr7IxViDcgFe9qeWLV8+Ql0qlaKlbwNcin+zNqOpSrO5h5YtK4w1vg3wTzyNNaVjjWq7KR2H33SsKdDMPlU23ni3VB2HvVu64fI/d99oHxo5DhcW4/q1B4zj0/ubC1B+HFYda0rH4fd8rCkqRsK1h/CudPx2xeW3PH4bGRuoq0yNI1Hz/6oDzf5TEHkthUKBvn37QltbG5s3b37lzXaKiorwxx9/oH79+gCAnj17YuPGjUhOToahoSE8PDzQpk0bHD9+HL1791a+r1WrVpg0aRIAwMXFBadPn8b8+fPRvn3p6WnffPONclt7e3v88ssvGDFiBJYuXary2YsXL4aPT+mz0devXw93d3fExMTA29sbAQEBiIqKwrhx4xAVFYX27dsjISEBp06dQseOHREVFaWcgNm+fTsUCgVWrVql/L5r166FTCZDVFQUOnTo8B8k+9/IyshFSYkCJmaql9uYmBniQWIK83052c/Rs8MvKCwqhpZUim+mdEcLXxd1lyuojMxslJQoKp2WamZmjMR7SSJVVTVkZuagpERR6XRmUzOjN85m4W+7UcdcpvKPoOouM4OVSy0k3kt+o30smrcXtesYw9vXTR0likbZn2qrXlJiZmaEe3crX7b5PmFnY0zZlGVTsU+ZmRkh8d6bZfP7b7vKxpoGr9+4Gnkx3phVuDzA7G3G4Xl7ULuOscrEQnXHPj7VeuM2U3p80qxcABprXuXl8Vu1P5X+XvOmx+99Gnn8JupFkyXvuSlTpuDs2bOIiYlBrVqVr/crz8DAQDlRAgB169aFvb09DA0NVZalpKj+I97X17fSz+WfkPPnn38iNDQUCQkJkMvlKC4uRn5+PvLy8mBgUDr7q62tjRYtWijf4+bmBplMhuvXr8Pb2xutW7fG6tWrUVJSghMnTqBDhw6wsLBAVFQUGjZsiNu3byMgIAAA8M8//+D27duVvm9+fj7u3OH/S1hBQQEKCgpUlunp6b0yLzEZ1NTDqu3f4nleAS7G3MbSuQdQz8oMTVrUf/2byXtv7crDiDwcgxXrxkNPT7NP630b61ZF4sjhWCxf+w3lQsh/YM3KcEQejsHKdROoT1WwdlUEjhw+jxVrv6Nsyik9Pp3HinXjKBfyxtatOoKjh2OxbO3X1G7eSvU4+0Od6DKc99i2bdswd+5cbNu2Dc7Ozq/dXkdHdXCRSCS8yxQKxRvXkJiYiODgYDRs2BC7d+9GbGys8p4mb3NJjL+/P7Kzs3Hx4kWcPHkSAQEByrNNTpw4gXr16im/Y05ODpo1a4b4+HiV182bN9G3b1/e/YeGhsLY2FjlFRoa+sb1/VvGJjWhpSVFRprqPVwy0nJgWps9uSWVSmFtWxvOblboPaA1WrdviM1r/lJ3uYIykdWClpYUaWlyleVpaVmoXbvyTdDeJzKZIbS0pEivkE16mhxmr8lmw9pIrF19GEtXfgsXV2t1lik4mQkrl+zX5rJx7VGsW30Ei1eMhrOG5QKU60+pWSrL09LkqF37/X4qGjubLMqmLJuKfSotTV7pr+MVbVgbgbWrD2HpyrFwcbV55bbV0YvxJi0tW2X5m/SpDWuPYN3qCCxZ8bXGjTfs41P2G7SZI1i7OgJLV36jcccngMaaV3l5/FbtT2/ye83GtX9i/eqjWLTiSzi7WqmzTI1Djw6myZL3Vnx8PIYOHYqZM2ciKChIrZ917ty5Sj+7u5eeOhkbGwuFQoHffvsNLVu2hIuLC548eVJpH8XFxcobuALAjRs3kJmZqdyPTCZDw4YNsXjxYujo6MDNzQ3+/v6Ii4vDwYMHlfcrAYCmTZvi1q1bMDc3h5OTk8qL9ajkyZMnIysrS+U1efLkd87mdXR0tOHiboXYmJfXqioUClyMuY0GDe3eeD8KBYeiwmJ1lCgaHV1tuHvYI6bcTQEVCgVioq+jYSMnESsTX2k2dio3Z32ZDfvsonWrI7BqWTgWL/8aHp72AlQqLB0dbbh52CIm+uXN3RQKBc5H30DDRg7M961fcwSrlh/GomVfwcPzzftddfKiP0VX6E/R566hYeP3+4y00mwcEH3uqnJZaTZX0agxjTXuHnaIfuux5jBWLjuAJcvHooEnu+9VZy/Gm/PRqtmcj06AVyP2PcTWr4nEquXhWLxsjGaOw7racPewVbk568s2w86l9Ph0UGOPT8DrxuH3fKzR0Yabhw3OVzp+34TXK47fG9YcxerlEVi4bJTGHr+JetFkyXsoNTUV3bp1Q0BAAPr374+kpCSV17Nnz/7Tzzt9+jRmz56NmzdvYsmSJdi5cye+/vprAICTkxOKioqwaNEi3L17Fxs3bsSyZcsq7UNHRwejR49GdHQ0YmNjMWjQILRs2RLe3t7KbQICArB582blxIipqSnc3d2xfft2lcmSfv36oXbt2ggJCcHff/+Ne/fuISoqCmPGjMGjR494v4Oenh6MjIxUXkJdhvPJZ/4I3xONiP0XkHg3GfP+twfPnxeiU0jpZUn/m7oVKxYeUm6/afVfOH/2Jp48SkPi3WRs33ACR8Jj0b5LU0HqFdJnAztgz64T2B92CnfvPMH/ftqA588LENL9AwDA1MkrsXD+TuX2RYXFSLj+AAnXH6C4qAQpKRlIuP4AD+6/2fWu1Um/ge2xd9ffOBB2BnfvPMWvP23G8+eF+Kh7KwDAtMmrsWj+HuX261Ydxh+L9mH6zwNRr15tpD7LQuqzLOTl5ov1FdSi34C2CNt1Ggf3ncO9O08R+vM2PH9egK7dSi8X/GHyOiyeH6bcft3qI1i26CB++PkzWFqZIjU1C6mpWcjL06xcAOCzQUEq/emXH0v7U7fuHwIAvp+0Ar/Pq9if7iPh+n0UFZUgJTkDCdfva2R/GjCoE3bvisK+sJO4e+cxfvlxbVk2pceWKZOW4fd525Xbq2ZTjJTk9LJsNO9+Sv0HBmHvrhPYH3Yad+88wa8/beQZh1/e+H3tqkNYumgvpv88WKPHGgDoPyAQe3edwoF9Z8vGmy2l43A3PwDAD5PXYtH8vcrt162OwB+L9mP6zwNhaWWmsePN649Payocn17mUq+emUa3mc8GdawwDq+vMA4vx+/zdii3rzzWaO443HdAW4TtOlN2/E7CzJ+3lx2/S59+OX3yBiyev0+5/frVR7FsUTh++LlfWX+SIzVVjry8AtZHkEqkan69vSVLlsDe3h76+vrw8fFBTAz/00Ff2LlzJ9zc3KCvrw8vLy8cOnToldtXRPcseQ+Fh4fj/v37uH//PiwtLSutt7Ozw7p16/6zz/vuu+9w4cIF/PjjjzAyMsK8efOUZ7M0atQI8+bNw6xZszB58mT4+/sjNDQUAwYMUNmHgYEBJk6ciL59++Lx48f48MMPsXr1apVtWrdujQULFijvTQKUTqD8888/KssMDAxw8uRJTJw4ER9//DGys7NhZWWFdu3awcio6l2+0TaoMTIzcrHmj0ikp2bDybUe5iwdprzJVcrTTEjLncqW/7wQ83/di2cpmdDT04GtvTmm/q8P2gY1FukbqE9QJx9kpGfjj8VhSE3NgqubLZYuH6s8lffp0zSV0/xSnmXi057TlT9vWBuBDWsj0KyFK1avmyR4/eoU1KlFWTb7kJYqh6ubDRYv/1p5umrS03SVdrNz+wkUFRVj/Leqk5XDR3XFiC8/ErR2derQqTkyMnKwbPFBpKXK4eJmjUXLviqXSwak0pcH8N3bT6KoqBgTv12psp/PR3bGF18GC1q7unUs609LF+0t15++U/anpKdpkErL96cM9O7xsj+tXxuB9Wsj0LyFK1avV/+Zd0Lq2KklMtLlWLpod1k2dvhj+YRy2aRWyuaTHt8rf16/9hDWrz2E5i3csGb9VMHrV6egTt7KcTgtNQuubjZYsvzbctmkQyp52ad2bj9eNtYsVdnPF6M+wogvuwlZutp16NSibLzZX268GaMyDkvKtZtdZePNhG+Xq+xn+MhgfPFlV0FrV6eXx6f9ZccnayxePuYNjk8VchkVrFHHJ+DFOCzH0kV7yo3D41T7U7ljVOk4/IPy5/VrD2P92sNo3sJN48bhDp2aITMjB8sXhyMtNRsublZYuOxLZn/avf3vsuO36r8XPh/ZCcO/7CJo7eS/sX37dowdOxbLli2Dj48PFixYgKCgINy4cQPm5uaVtj9z5gz69OmD0NBQBAcHY8uWLejWrRsuXrwIT0/PN/pMCcdx3H/9RQh5XyQ93y92CVWSRY2P8Lz4jNhlVDk1tP2QW3xS7DKqpJra/sguOiZ2GVVSLZ12yC85K3YZVZK+li8KSs6LXUaVo6fVAnnFp8Uuo0oy0G6FnKIoscuokgx1ApBbfELsMqqkmtqtkV9y7vUbvof0tVpCXnRU7DKqHCOd9mKX8B+4qeb9v92TOn18fNCiRQssXrwYQOmlWDY2Nhg9erTyyavl9e7dG7m5uTh48KByWcuWLdG4cWPeKxn40GU4hBBCCCGEEEIIEUxBQQHkcrnKq+LTR18oLCxEbGwsAgMDlcukUikCAwNx9iz/H5TOnj2rsj0ABAUFMbfnxRFCqrX8/Hxu+vTpXH5+vtilVDmUDRtlw0bZ8KNc2CgbNsqGjbLhR7mwUTZslE31M336dA6Aymv69Om82z5+/JgDwJ05c0Zl+fjx4zlvb2/e9+jo6HBbtmxRWbZkyRLO3Nz8jWuky3AIqebkcjmMjY2RlZVVJe+5IibKho2yYaNs+FEubJQNG2XDRtnwo1zYKBs2yqb6KSgoqHQmiZ6eHu9DNJ48eQIrKyucOXMGvr6+yuUTJkzAiRMnEB0dXek9urq6WL9+Pfr06aNctnTpUvz4449ITn6zmyDTDV4JIYQQQgghhBAiGNbECJ/atWtDS0ur0iRHcnIyLCwseN9jYWHxVtvzoXuWEEIIIYQQQgghpErS1dVFs2bNcOzYy4cBKBQKHDt2TOVMk/J8fX1VtgeAo0ePMrfnQ2eWEEIIIYQQQgghpMoaO3YsBg4ciObNm8Pb2xsLFixAbm4uBg8eDAAYMGAArKysEBoaCgD4+uuv0bp1a/z222/o0qULtm3bhgsXLmDFihVv/Jk0WUJINaenp4fp06e/8Wls7xPKho2yYaNs+FEubJQNG2XDRtnwo1zYKBs2ykbz9e7dG8+ePcMPP/yApKQkNG7cGBEREahbty4A4MGDB5BKX1444+fnhy1btmDq1KmYMmUKnJ2dERYWBk9Pzzf+TLrBKyGEEEIIIYQQQkg5dM8SQgghhBBCCCGEkHJosoQQQgghhBBCCCGkHJosIYQQQgghhBBCCCmHJksIIYQQQgghhBBCyqHJEkIIIYQQQgghhJBy6NHBhFRDSUlJiI6ORlJSEgDAwsICPj4+sLCwELky8cXExODs2bMq2fj6+sLb21vkysRH2bBRNpUVFhYiLCysUi5+fn4ICQmBrq6uyBWKi9oMG2XDRtnwo1z40Tj8atRuiLrRo4MJqUZyc3PxxRdfYNu2bZBIJDA1NQUApKeng+M49OnTB8uXL4eBgYHIlQovJSUFPXr0wOnTp2Fra6t85npycjIePHiAVq1aYffu3TA3Nxe5UuFRNmyUDb/bt28jKCgIT548gY+Pj0ou0dHRsLa2xuHDh+Hk5CRypcKjNsNG2bBRNvwoFzYah9mo3RDBcISQamPo0KGcs7MzFxERwRUXFyuXFxcXc5GRkZyLiws3bNgwESsUT48ePThfX18uISGh0rqEhATOz8+P69mzpwiViY+yYaNs+AUGBnIhISFcVlZWpXVZWVlcSEgI16FDBxEqEx+1GTbKho2y4Ue5sNE4zEbthgiFziwhpBoxMTFBeHg4/Pz8eNefPn0awcHByMjIELgy8dWqVQsnT55EkyZNeNfHxsYiICAA2dnZAlcmPsqGjbLhZ2BggJiYGHh6evKuv3z5Mnx8fJCXlydwZeKjNsNG2bBRNvwoFzYah9mo3RCh0A1eCalGFArFK69P1dXVhUKhELCiqkNPTw9yuZy5Pjs7G3p6egJWVHVQNmyUDT+ZTIbExETm+sTERMhkMsHqqUqozbBRNmyUDT/KhY3GYTZqN0QoNFlCSDUSHByM4cOHIy4urtK6uLg4jBw5El27dhWhMvH17t0bAwcOxN69e1UOoHK5HHv37sXgwYPRp08fESsUD2XDRtnwGzZsGAYMGID58+fj0qVLSE5ORnJyMi5duoT58+dj0KBBGD58uNhlioLaDBtlw0bZ8KNc2GgcZqN2QwQj9nVAhJA3l56eznXs2JGTSCScqakp5+bmxrm5uXGmpqacVCrlOnXqxGVkZIhdpijy8/O5ESNGcLq6upxUKuX09fU5fX19TiqVcrq6utzIkSO5/Px8scsUBWXDRtmwzZw5k7O0tOQkEgknlUo5qVTKSSQSztLSkps1a5bY5YmG2gwbZcNG2fCjXF6NxmF+1G6IUOieJYRUQ9evX8e5c+cqPSrNzc1N5MrEJ5fLceHCBSQnJwMozaZZs2YwMjISuTLxUTZslA3b3bt3VXJxcHAQuaKqgdoMG2XDRtnwo1xejcZhftRuiLrRZAkhhBBCCCGEEEJIOdpiF0AIeTuFhYUICwvD2bNnVc4s8fPzQ0hIyCtvAKvpUlNTsWbNGt5sBg0ahDp16ohcoXgoGzbKht+1a9ewePHiSrn4+vriq6++goeHh8gViofaDBtlw0bZ8KNc2GgcZqN2Q4RAZ5YQUo3cvn0bQUFBePLkCXx8fFC3bl0AQHJyMqKjo2FtbY3Dhw/DyclJ5EqFd/78eQQFBcHAwACBgYEq2Rw7dgx5eXmIjIxE8+bNRa5UeJQNG2XD7/Dhw+jWrRuaNm2KoKAglVyOHj2K2NhY7Nu3D0FBQSJXKjxqM2yUDRtlw49yYaNxmI3aDREKTZYQUo20b98eNWvWxIYNGypdjymXyzFgwAA8f/4ckZGRIlUonpYtW6JRo0ZYtmwZJBKJyjqO4zBixAhcunQJZ8+eFalC8VA2bJQNv0aNGiEkJAQ//fQT7/oZM2Zgz549uHTpksCViY/aDBtlw0bZ8KNc2GgcZqN2Q4RCkyWEVCMGBgaIiYmBp6cn7/rLly/Dx8cHeXl5Alcmvho1aiAuLo55k9uEhAQ0adIEz58/F7gy8VE2bJQNvxo1aiA+Ph6urq6862/cuIHGjRu/d7kA1GZehbJho2z4US5sNA6zUbshQpGKXQAh5M3JZDIkJiYy1ycmJkImkwlWT1ViYWGBmJgY5vqYmBjlaZrvG8qGjbLhZ29vj/DwcOb68PBw2NnZCVhR1UFtho2yYaNs+FEubDQOs1G7IUKhG7wSUo0MGzYMAwYMwLRp09CuXbtK12j+8ssvGD16tMhVimPcuHEYPnw4YmNjebNZuXIl5s6dK3KV4qBs2Cgbfj/99BP69u2LqKgo3uvBIyIisGXLFpGrFAe1GTbKho2y4Ue5sNE4zEbthgiGI4RUKzNnzuQsLS05iUTCSaVSTiqVchKJhLO0tORmzZoldnmi2rZtG+fj48Npa2tzEomEk0gknLa2Nufj48Nt375d7PJERdmwUTb8Tp8+zfXu3ZuztbXldHV1OV1dXc7W1pbr3bs3d+bMGbHLExW1GTbKho2y4Ue5sNE4zEbthgiB7llCSDV19+5dJCcnAyg9HdHBwUHkiqqOoqIipKamAgBq164NHR0dkSuqOigbNsqGvC1qM2yUDRtlw49yIf8GtRuiTjRZQgjRSAUFBQAAPT09kSupeigbNsqmsqysLCQlJQEonZg1NjYWuaKqhdoMG2XDRtnwo1z40Tj8atRuiLrQDV4JqWauXbuGUaNGoUmTJrC0tISlpSWaNGmCUaNG4dq1a2KXJ6qjR4+ic+fOMDExgYGBAQwMDGBiYoLOnTvjzz//FLs8UVE2bJQNv1WrVsHDwwOmpqbw8PCAu7u78r9Xr14tdnmiojbDRtmwUTb8KBc2GofZqN0QIdCZJYRUI4cPH0a3bt3QtGlTBAUFqdzQ6ujRo4iNjcW+ffsQFBQkcqXCW79+PYYNG4aePXtWyubIkSPYtWsXVq9ejc8++0zkSoVH2bBRNvzmzJmDGTNmYMyYMby5LFy4EDNmzMC4ceNErlR41GbYKBs2yoYf5cJG4zAbtRsiGDFvmEIIeTsNGzbkpk2bxlw/ffp0zsvLS8CKqg5nZ2du8eLFzPVLlizhnJycBKyo6qBs2Cgbfra2tq+8Qd62bds4GxsbASuqOqjNsFE2bJQNP8qFjcZhNmo3RCh0GQ4h1cjNmzfRr18/5vo+ffrg1q1bAlZUdTx48ACBgYHM9e3atcOjR48ErKjqoGzYKBt+KSkp8PLyYq738vJS3lDvfUNtho2yYaNs+FEubDQOs1G7IUKhyRJCqhF7e3uEh4cz14eHh8POzk7AiqqOBg0avPL63TVr1sDDw0PAiqoOyoaNsuHXokULzJw5E8XFxZXWlZSUYNasWWjRooUIlYmP2gwbZcNG2fCjXNhoHGajdkOEQvcsIaQa2blzJ/r27YtOnTohMDBQ5RrNY8eOISIiAlu2bEGPHj1ErlR4UVFRCA4OhqOjI282d+/eRXh4OPz9/UWuVHiUDRtlw+/SpUsICgpCUVER/P39VXI5efIkdHV1ceTIEXh6eopcqfCozbBRNmyUDT/KhY3GYTZqN0QoNFlCSDVz5swZLFy4EGfPnlV5jJyvry++/vpr+Pr6ilyheBITE/HHH3/g3LlzlbIZMWIE7O3txS1QRJQNG2XDLzs7G5s2beLNpW/fvjAyMhK5QvFQm2GjbNgoG36UCxuNw2zUbogQaLKEEEIIIYQQQgghpBxtsQsghPw7WVlZKjPpxsbGIldUNRQXF+Pq1avKbCwtLeHu7g4dHR2RKxMfZcNG2fBLSkpCdHS0Si7e3t6wsLAQuTLxUZtho2zYKBt+lAsbjcNs1G6I2on5KB5CyNtbuXIl5+7uzkmlUk4qlXISiYSTSqWcu7s7t2rVKrHLE01JSQn3/fffczKZjJNIJCovmUzGTZ06lSspKRG7TFFQNmyUDb+cnByuX79+nJaWFqetrc2Zm5tz5ubmnLa2NqelpcX179+fy83NFbtMUVCbYaNs2CgbfpQLG43DbNRuiFBosoSQamT27NmcgYEBN2nSJO748ePctWvXuGvXrnHHjx/nJk+ezNWsWZObM2eO2GWKYvz48VydOnW4ZcuWcffu3ePy8vK4vLw87t69e9zy5cs5c3NzbsKECWKXKQrKho2y4Td06FDO2dmZi4iI4IqLi5XLi4uLucjISM7FxYUbNmyYiBWKh9oMG2XDRtnwo1zYaBxmo3ZDhEKTJYRUI7a2ttz27duZ67dt28bZ2NgIWFHVUbduXS4iIoK5PiIigjM3NxewoqqDsmGjbPjJZDLu9OnTzPWnTp3iZDKZgBVVHdRm2CgbNsqGH+XCRuMwG7UbIhSp2JcBEULeXEpKCry8vJjrvby8kJqaKmBFVUd2djbq1avHXG9paYnc3FwBK6o6KBs2yoafQqGArq4uc72uri4UCoWAFVUd1GbYKBs2yoYf5cJG4zAbtRsiFJosIaQaadGiBWbOnIni4uJK60pKSjBr1iy0aNFChMrEFxAQgHHjxvFOFqWmpmLixIkICAgQvrAqgLJho2z4BQcHY/jw4YiLi6u0Li4uDiNHjkTXrl1FqEx81GbYKBs2yoYf5cJG4zAbtRsiFHp0MCHVyKVLlxAUFISioiL4+/ujbt26AIDk5GScPHkSurq6OHLkCDw9PUWuVHgPHz5E586dkZCQAC8vL5VsLl++DA8PDxw8eBA2NjYiVyo8yoaNsuGXkZGBvn37IjIyEiYmJjA3NwdQenZbZmYmgoKCsGXLFshkMnELFQG1GTbKho2y4Ue5sNE4zEbthgiFJksIqWays7OxadMmnDt3TuXRwb6+vujbty+MjIxErlA8CoUCkZGRvNl06NABUun7ezIdZcNG2bBdv36dNxc3NzeRKxMXtRk2yoaNsuFHubwajcP8qN0QIdBkCSGEEEIIIYQQQkg52mIXQAh5e0lJSYiOjlbOpFtaWsLb2xsWFhYiVya+mJgYnD17VuWvDH5+fu/tvVzKo2zYKJvKCgsLERYWxptLSEjIK288+D6gNsNG2bBRNvwoF340Dr8atRuibnRmCSHVSG5uLr744gts27YNEokEpqamAID09HRwHIc+ffpg+fLlMDAwELlS4aWkpKBHjx44ffo0bG1tVa5fffDgAVq1aoXdu3crr/l9n1A2bJQNv9u3byMoKAhPnjyBj4+PSi7R0dGwtrbG4cOH4eTkJHKlwqM2w0bZsFE2/CgXNhqH2ajdEMGI9tBiQshbGzp0KOfs7MxFRERwxcXFyuXFxcVcZGQk5+Liwg0bNkzECsXTo0cPztfXl0tISKi0LiEhgfPz8+N69uwpQmXio2zYKBt+gYGBXEhICJeVlVVpXVZWFhcSEsJ16NBBhMrER22GjbJho2z4US5sNA6zUbshQqEzSwipRkxMTBAeHg4/Pz/e9adPn0ZwcDAyMjIErkx8tWrVwsmTJ9GkSRPe9bGxsQgICEB2drbAlYmPsmGjbPgZGBggJiaG+WSty5cvw8fHB3l5eQJXJj5qM2yUDRtlw49yYaNxmI3aDREK3SaYkGpEoVC88vpUXV1dKBQKASuqOvT09CCXy5nrs7OzoaenJ2BFVQdlw0bZ8JPJZEhMTGSuT0xMfC8fVwlQm3kVyoaNsuFHubDROMxG7YYIhSZLCKlGgoODMXz4cMTFxVVaFxcXh5EjR6Jr164iVCa+3r17Y+DAgdi7d6/KAVQul2Pv3r0YPHgw+vTpI2KF4qFs2CgbfsOGDcOAAQMwf/58XLp0CcnJyUhOTsalS5cwf/58DBo0CMOHDxe7TFFQm2GjbNgoG36UCxuNw2zUbohgxL4OiBDy5tLT07mOHTtyEomEMzU15dzc3Dg3NzfO1NSUk0qlXKdOnbiMjAyxyxRFfn4+N2LECE5XV5eTSqWcvr4+p6+vz0mlUk5XV5cbOXIkl5+fL3aZoqBs2CgbtpkzZ3KWlpacRCLhpFIpJ5VKOYlEwllaWnKzZs0SuzzRUJtho2zYKBt+lMur0TjMj9oNEQrds4SQauj69es4d+6cyqPSfH194ebmJnJl4pPL5bhw4QKSk5MBlGbTrFkzGBkZiVyZ+CgbNsqG7e7duyq5ODg4iFxR1UBtho2yYaNs+FEur0bjMD9qN0TdaLKEEEIIIYQQQgghpBxtsQsghLydwsJChIWF4ezZsypnlvj5+SEkJOSVN4DVdKmpqVizZg1vNoMGDUKdOnVErlA8lA0bZcPv2rVrWLx4caVcfH198dVXX8HDw0PkCsVDbYaNsmGjbPhRLmw0DrNRuyFCoDNLCKlGbt++jaCgIDx58gQ+Pj6oW7cuACA5ORnR0dGwtrbG4cOH4eTkJHKlwjt//jyCgoJgYGCAwMBAlWyOHTuGvLw8REZGonnz5iJXKjzKho2y4Xf48GF069YNTZs2RVBQkEouR48eRWxsLPbt24egoCCRKxUetRk2yoaNsuFHubDROMxG7YYIhSZLCKlG2rdvj5o1a2LDhg2VrseUy+UYMGAAnj9/jsjISJEqFE/Lli3RqFEjLFu2DBKJRGUdx3EYMWIELl26hLNnz4pUoXgoGzbKhl+jRo0QEhKCn376iXf9jBkzsGfPHly6dEngysRHbYaNsmGjbPhRLmw0DrNRuyFCockSQqoRAwMDxMTEwNPTk3f95cuX4ePjg7y8PIErE1+NGjUQFxfHvMltQkICmjRpgufPnwtcmfgoGzbKhl+NGjUQHx8PV1dX3vU3btxA48aN37tcAGozr0LZsFE2/CgXNhqH2ajdEKFIxS6AEPLmZDIZEhMTmesTExMhk8kEq6cqsbCwQExMDHN9TEyM8jTN9w1lw0bZ8LO3t0d4eDhzfXh4OOzs7ASsqOqgNsNG2bBRNvwoFzYah9mo3RCh0A1eCalGhg0bhgEDBmDatGlo165dpWs0f/nlF4wePVrkKsUxbtw4DB8+HLGxsbzZrFy5EnPnzhW5SnFQNmyUDb+ffvoJffv2RVRUFO/14BEREdiyZYvIVYqD2gwbZcNG2fCjXNhoHGajdkMEwxFCqpWZM2dylpaWnEQi4aRSKSeVSjmJRMJZWlpys2bNErs8UW3bto3z8fHhtLW1OYlEwkkkEk5bW5vz8fHhtm/fLnZ5oqJs2CgbfqdPn+Z69+7N2dracrq6upyuri5na2vL9e7dmztz5ozY5YmK2gwbZcNG2fCjXNhoHGajdkOEQPcsIaSaunv3LpKTkwGUno7o4OAgckVVR1FREVJTUwEAtWvXho6OjsgVVR2UDRtlQ94WtRk2yoaNsuFHuZB/g9oNUSeaLCGEaKSCggIAgJ6ensiVVD2UDRtlU1lWVhaSkpIAlE7MGhsbi1xR1UJtho2yYaNs+FEu/GgcfjVqN0Rd6AavhFQz165dw6hRo9CkSRNYWlrC0tISTZo0wahRo3Dt2jWxyxPV0aNH0blzZ5iYmMDAwAAGBgYwMTFB586d8eeff4pdnqgoGzbKht+qVavg4eEBU1NTeHh4wN3dXfnfq1evFrs8UVGbYaNs2CgbfpQLG43DbNRuiBDozBJCqpHDhw+jW7duaNq0KYKCglRuaHX06FHExsZi3759CAoKErlS4a1fvx7Dhg1Dz549K2Vz5MgR7Nq1C6tXr8Znn30mcqXCo2zYKBt+c+bMwYwZMzBmzBjeXBYuXIgZM2Zg3LhxIlcqPGozbJQNG2XDj3Jho3GYjdoNEYyYN0whhLydhg0bctOmTWOunz59Oufl5SVgRVWHs7Mzt3jxYub6JUuWcE5OTgJWVHVQNmyUDT9bW9tX3iBv27ZtnI2NjYAVVR3UZtgoGzbKhh/lwkbjMBu1GyIUugyHkGrk5s2b6NevH3N9nz59cOvWLQErqjoePHiAwMBA5vp27drh0aNHAlZUdVA2bJQNv5SUFHh5eTHXe3l5KW+o976hNsNG2bBRNvwoFzYah9mo3RCh0GQJIdWIvb09wsPDmevDw8NhZ2cnYEVVR4MGDV55/e6aNWvg4eEhYEVVB2XDRtnwa9GiBWbOnIni4uJK60pKSjBr1iy0aNFChMrER22GjbJho2z4US5sNA6zUbshQqF7lhBSjezcuRN9+/ZFp06dEBgYqHKN5rFjxxAREYEtW7agR48eIlcqvKioKAQHB8PR0ZE3m7t37yI8PBz+/v4iVyo8yoaNsuF36dIlBAUFoaioCP7+/iq5nDx5Erq6ujhy5Ag8PT1FrlR41GbYKBs2yoYf5cJG4zAbtRsiFJosIaSaOXPmDBYuXIizZ8+qPEbO19cXX3/9NXx9fUWuUDyJiYn4448/cO7cuUrZjBgxAvb29uIWKCLKho2y4ZednY1Nmzbx5tK3b18YGRmJXKF4qM2wUTZslA0/yoWNxmE2ajdECDRZQgghhBBCCCGEEFKOttgFEEL+naysLJWZdGNjY5ErqhqKi4tx9epVZTaWlpZwd3eHjo6OyJWJj7Jho2z4JSUlITo6WiUXb29vWFhYiFyZ+KjNsFE2bJQNP8qFjcZhNmo3RO3EfBQPIeTtrVy5knN3d+ekUiknlUo5iUTCSaVSzt3dnVu1apXY5YmmpKSE+/777zmZTMZJJBKVl0wm46ZOncqVlJSIXaYoKBs2yoZfTk4O169fP05LS4vT1tbmzM3NOXNzc05bW5vT0tLi+vfvz+Xm5opdpiiozbBRNmyUDT/KhY3GYTZqN0QoNFlCSDUye/ZszsDAgJs0aRJ3/Phx7tq1a9y1a9e448ePc5MnT+Zq1qzJzZkzR+wyRTF+/HiuTp063LJly7h79+5xeXl5XF5eHnfv3j1u+fLlnLm5OTdhwgSxyxQFZcNG2fAbOnQo5+zszEVERHDFxcXK5cXFxVxkZCTn4uLCDRs2TMQKxUNtho2yYaNs+FEubDQOs1G7IUKhyRJCqhFbW1tu+/btzPXbtm3jbGxsBKyo6qhbty4XERHBXB8REcGZm5sLWFHVQdmwUTb8ZDIZd/r0aeb6U6dOcTKZTMCKqg5qM2yUDRtlw49yYaNxmI3aDRGKVOzLgAghby4lJQVeXl7M9V5eXkhNTRWwoqojOzsb9erVY663tLREbm6ugBVVHZQNG2XDT6FQQFdXl7leV1cXCoVCwIqqDmozbJQNG2XDj3Jho3GYjdoNEQpNlhBSjbRo0QIzZ85EcXFxpXUlJSWYNWsWWrRoIUJl4gsICMC4ceN4J4tSU1MxceJEBAQECF9YFUDZsFE2/IKDgzF8+HDExcVVWhcXF4eRI0eia9euIlQmPmozbJQNG2XDj3Jho3GYjdoNEQo9OpiQauTSpUsICgpCUVER/P39UbduXQBAcnIyTp48CV1dXRw5cgSenp4iVyq8hw8fonPnzkhISICXl5dKNpcvX4aHhwcOHjwIGxsbkSsVHmXDRtnwy8jIQN++fREZGQkTExOYm5sDKD27LTMzE0FBQdiyZQtkMpm4hYqA2gwbZcNG2fCjXNhoHGajdkOEQpMlhFQz2dnZ2LRpE86dO6fy6GBfX1/07dsXRkZGIlcoHoVCgcjISN5sOnToAKn0/T2ZjrJho2zYrl+/zpuLm5ubyJWJi9oMG2XDRtnwo1xejcZhftRuiBBosoQQQgghhBBCCCGkHG2xCyCEvL2kpCRER0crZ9ItLS3h7e0NCwsLkSsTX0xMDM6ePavyVwY/P7/39l4u5VE2bJRNZYWFhQgLC+PNJSQk5JU3HnwfUJtho2zYKBt+lAs/GodfjdoNUTc6s4SQaiQ3NxdffPEFtm3bBolEAlNTUwBAeno6OI5Dnz59sHz5chgYGIhcqfBSUlLQo0cPnD59Gra2tirXrz548ACtWrXC7t27ldf8vk8oGzbKht/t27cRFBSEJ0+ewMfHRyWX6OhoWFtb4/Dhw3BychK5UuFRm2GjbNgoG36UCxuNw2zUbohgRHtoMSHkrQ0dOpRzdnbmIiIiuOLiYuXy4uJiLjIyknNxceGGDRsmYoXi6dGjB+fr68slJCRUWpeQkMD5+flxPXv2FKEy8VE2bJQNv8DAQC4kJITLysqqtC4rK4sLCQnhOnToIEJl4qM2w0bZsFE2/CgXNhqH2ajdEKHQmSWEVCMmJiYIDw+Hn58f7/rTp08jODgYGRkZAlcmvlq1auHkyZNo0qQJ7/rY2FgEBAQgOztb4MrER9mwUTb8DAwMEBMTw3yy1uXLl+Hj44O8vDyBKxMftRk2yoaNsuFHubDROMxG7YYIhW4TTEg1olAoXnl9qq6uLhQKhYAVVR16enqQy+XM9dnZ2dDT0xOwoqqDsmGjbPjJZDIkJiYy1ycmJr6Xj6sEqM28CmXDRtnwo1zYaBxmo3ZDhEKTJYRUI8HBwRg+fDji4uIqrYuLi8PIkSPRtWtXESoTX+/evTFw4EDs3btX5QAql8uxd+9eDB48GH369BGxQvFQNmyUDb9hw4ZhwIABmD9/Pi5duoTk5GQkJyfj0qVLmD9/PgYNGoThw4eLXaYoqM2wUTZslA0/yoWNxmE2ajdEMGJfB0QIeXPp6elcx44dOYlEwpmamnJubm6cm5sbZ2pqykmlUq5Tp05cRkaG2GWKIj8/nxsxYgSnq6vLSaVSTl9fn9PX1+ekUimnq6vLjRw5ksvPzxe7TFFQNmyUDdvMmTM5S0tLTiKRcFKplJNKpZxEIuEsLS25WbNmiV2eaKjNsFE2bJQNP8rl1Wgc5kfthgiF7llCSDWUkJBQ6VFpvr6+cHNzE7ky8cnlcsTGxqpk06xZMxgZGYlcmfgoGzbKhu3evXsquTg4OIhcUdVAbYaNsmGjbPhRLq9G4zA/ajdE3WiyhBBCCCGEEEIIIaQcumcJIRrk6dOnePDggdhlVEkXLlzAyZMnxS6jSqJs2Cgbfvv27cOGDRvELqNKojbDRtmwUTb8KBc2GofZqN2Q/wqdWUKIBnF3d8fNmzdRUlIidilVDmXDRtmwUTb83NzccOvWLcqFB7UZNsqGjbLhR7mw0TjMRu2G/FdosoQQDXL+/Hnk5eWhdevWYpdS5Tx58gRFRUWws7MTu5Qqh7Jho2zI26I2w0bZsFE2/CgX8m9QuyH/FZosIYQQQgghhBBCCClHW+wCCCFvr7i4GFevXlW5+7eHhwd0dHRErkx8SUlJiI6OVsnGx8cHFhYWIlcmPsqGjbLhFxMTw/vkLW9vb5ErEx+1GTbKho2y4Ue5sNE4zEbthqidWM8sJoS8vZKSEu7777/nZDIZJ5FIVF4ymYybOnUqV1JSInaZosjJyeH69evHaWlpcdra2py5uTlnbm7OaWtrc1paWlz//v253NxcscsUBWXDRtnwS05O5j744ANOIpFwdnZ2nLe3N+ft7c3Z2dlxEomE++CDD7jk5GSxyxQFtRk2yoaNsuFHubDROMxG7YYIhZ6GQ0g1MmnSJKxYsQIzZ87E3bt3kZubi9zcXNy9exezZs3CihUrMHnyZLHLFMXXX3+NmJgYhIeHIz8/H8nJyUhOTkZ+fj4OHTqEmJgYfP3112KXKQrKho2y4Tdq1CiUlJTg+vXrSExMRHR0NKKjo5GYmIjr169DoVDgyy+/FLtMUVCbYaNs2CgbfpQLG43DbNRuiGDEnq0hhLy5unXrchEREcz1ERERnLm5uYAVVR0ymYw7ffo0c/2pU6c4mUwmYEVVB2XDRtnwMzQ05C5evMhcf+HCBc7Q0FDAiqoOajNslA0bZcOPcmGjcZiN2g0RCp1ZQkg1kp2djXr16jHXW1paIjc3V8CKqg6FQgFdXV3mel1dXSgUCgErqjooGzbKhp+enh7kcjlzfXZ2NvT09ASsqOqgNsNG2bBRNvwoFzYah9mo3RCh0GQJIdVIQEAAxo0bh9TU1ErrUlNTMXHiRAQEBAhfWBUQHByM4cOHIy4urtK6uLg4jBw5El27dhWhMvFRNmyUDb/evXtj4MCB2Lt3r8ov63K5HHv37sXgwYPRp08fESsUD7UZNsqGjbLhR7mw0TjMRu2GCEbsU1sIIW/uwYMHnKenJ6etrc01adKE69ixI9exY0euSZMmnLa2NtewYUPuwYMHYpcpivT0dK5jx46cRCLhTE1NOTc3N87NzY0zNTXlpFIp16lTJy4jI0PsMkVB2bBRNvzy8/O5ESNGcLq6upxUKuX09fU5fX19TiqVcrq6utzIkSO5/Px8scsUBbUZNsqGjbLhR7mw0TjMRu2GCEXCcRwn9oQNIeTNKRQKREZG4ty5c5UeI9ehQwdIpe/3CWPXr1/nzcbNzU3kysRH2bBRNvzkcjkuXLiA5ORkAKW5NGvWDEZGRiJXJj5qM2yUDRtlw49yYaNxmI3aDVE3miwhhBBCCCGEEEIIKUdb7AIIIW8vJiYGZ8+eVZlJ9/PzQ4sWLUSuTFyFhYUICwvjzSYkJOSVNwPTdJQNG2XDLzU1FWvWrOHNZdCgQahTp47IFYqH2gwbZcNG2fCjXNhoHGajdkOEQGeWEFKNpKSkoEePHjh9+jRsbW1Rt25dAEBycjIePHiAVq1aYffu3TA3Nxe5UuHdvn0bQUFBePLkCXx8fFSyiY6OhrW1NQ4fPgwnJyeRKxUeZcNG2fA7f/48goKCYGBggMDAQJVcjh07hry8PERGRqJ58+YiVyo8ajNslA0bZcOPcmGjcZiN2g0RCk2WEFKN9OzZE0+ePMHatWvh6uqqsu7GjRsYMmQI6tWrh507d4pUoXjat2+PmjVrYsOGDZWu45XL5RgwYACeP3+OyMhIkSoUD2XDRtnwa9myJRo1aoRly5ZBIpGorOM4DiNGjMClS5dw9uxZkSoUD7UZNsqGjbLhR7mw0TjMRu2GCIUmSwipRmrVqoWTJ0+iSZMmvOtjY2MREBCA7OxsgSsTn4GBAWJiYuDp6cm7/vLly/Dx8UFeXp7AlYmPsmGjbPjVqFEDcXFxzJvkJSQkoEmTJnj+/LnAlYmP2gwbZcNG2fCjXNhoHGajdkOE8n4/NoOQakZPTw9yuZy5Pjs7G3p6egJWVHXIZDIkJiYy1ycmJkImkwlWT1VC2bBRNvwsLCwQExPDXB8TE6M87fl9Q22GjbJho2z4US5sNA6zUbshQqEbvBJSjfTu3RsDBw7E/Pnz0a5dO+Wph3K5HMeOHcPYsWPRp08fkasUx7BhwzBgwABMmzYN7dq1q3Rt7y+//ILRo0eLXKU4KBs2yobfuHHjMHz4cMTGxvLmsnLlSsydO1fkKsVBbYaNsmGjbPhRLmw0DrNRuyGC4Qgh1UZ+fj43YsQITldXl5NKpZy+vj6nr6/PSaVSTldXlxs5ciSXn58vdpmimTlzJmdpaclJJBJOKpVyUqmUk0gknKWlJTdr1iyxyxMVZcNG2fDbtm0b5+Pjw2lra3MSiYSTSCSctrY25+Pjw23fvl3s8kRFbYaNsmGjbPhRLmw0DrNRuyFCoHuWEFINyeVyxMbGqjwqrVmzZpVucvW+unfvnko2Dg4OIldUdVA2bJQNv6KiIqSmpgIAateuDR0dHZErqjqozbBRNmyUDT/KhY3GYTZqN0SdaLKEEEIIIYQQQgghpBy6wSsh1dSDBw/w9OlTlWVPnz7FgwcPRKqo6jh58iQuXLigsuzChQs4efKkSBVVHZQNG2XDb8OGDdi3b5/Ksn379mHDhg0iVVR1UJtho2zYKBt+lAsbjcNs1G6IOtGZJYRUU1KpFG5ubrh27Zpymbu7O27evImSkhIRKxMfZcNG2bBRNvz4cnFzc8OtW7fe61wAajOvQtmwUTb8KBc2GofZqN0QdaKn4RBSTR0/fhwGBgYqyzZs2EDPlEfp9asVr+c9duwYioqKRKqo6qBs2CgbfgqFotKyhIQEESqpeqjNsFE2bJQNP8qFjcZhNmo3RJ3ozBJCCCGEEEIIIYSQcujMEkKqqaysLJW7fxsbG4tcUdVQXFyMq1evqmTj4eFBd44HZfMqlA2/pKQkREdHq+Ti4+MDCwsLkSsTH7UZNsqGjbLhR7mw0TjMRu2GqJ14Ty0mhPwbK1eu5Nzd3ZXPlH/xcnd351atWiV2eaIpKSnhvv/+e04mk3ESiUTlJZPJuKlTp3IlJSVilykKyoaNsuGXk5PD9evXj9PS0uK0tbU5c3NzztzcnNPW1ua0tLS4/v37c7m5uWKXKQpqM2yUDRtlw49yYaNxmI3aDREKTZYQUo3Mnj2bMzAw4CZNmsQdP36cu3btGnft2jXu+PHj3OTJk7maNWtyc+bMEbtMUYwfP56rU6cOt2zZMu7evXtcXl4el5eXx927d49bvnw5Z25uzk2YMEHsMkVB2bBRNvyGDh3KOTs7cxEREVxxcbFyeXFxMRcZGcm5uLhww4YN+3979x5dVXnn8f9zDiFEhHDEEkiUBBQxiUQN1wYVGEUCCgXFKQUVpFCE2inVFUCX2irOGqG043XqBbxRpNAl0qlQCB1EKQhBIAoSLorEYIHQyC2Ea07274/+mh+R/U21P9nPOeb9Wou1mjyO8+W9nm7ok332djihO+wZG21stPFHFxvXYRv7BkHhsASII+np6d78+fPN9Xnz5nlt27YNcKLY0bp1a2/p0qXm+tKlS72UlJQAJ4odtLHRxl8kEvFWr15trq9atcqLRCIBThQ72DM22tho448uNq7DNvYNghJ2/TEgAF/d/v37lZOTY67n5OSooqIiwIliR2VlpdLS0sz11NRUVVVVBThR7KCNjTb+ampqlJiYaK4nJib6vp2hIWDP2Ghjo40/uti4DtvYNwgKhyVAHOnWrZumTZum6urqs9ai0aimT5+ubt26OZjMvT59+qigoMD3sKiiokJTpkxRnz59gh8sBtDGRht/AwcO1Lhx41RcXHzWWnFxsSZMmKBBgwY5mMw99oyNNjba+KOLjeuwjX2DoPDqYCCObNq0Sfn5+Tp9+rR69eql1q1bS5LKy8u1cuVKJSYmatmyZerUqZPjSYO3e/du3XTTTdq2bZtycnLqtNm8ebOys7O1aNEitW3b1vGkwaONjTb+Dh48qBEjRqiwsFAXXHCBUlJSJP397rZDhw4pPz9fc+fOVSQScTuoA+wZG21stPFHFxvXYRv7BkHhsASIM5WVlZozZ47Wrl1b51VpeXl5GjFihJKTkx1P6E5NTY0KCwt92/Tr10/hcMO9mY42NtrYtm7d6tslMzPT8WRusWdstLHRxh9d6sd12B/7BkHgsAQAAAAAAOAMCa4HAPD17du3T0VFRbUn6ampqerevbvatGnjeDL31q1bpzVr1tT5KUPPnj0b7LNczkQbG23OdurUKf3hD3/w7TJ48OB6HzzYELBnbLSx0cYfXfxxHa4f+wbnGneWAHGkqqpKd999t+bNm6dQKKSWLVtKkg4cOCDP8zR8+HC98MILatq0qeNJg7d//34NHTpUq1evVnp6ep3Pr5aVlemaa67RggULaj/z25DQxkYbf5988ony8/O1Z88e9ejRo06XoqIiXXzxxVqyZIk6dOjgeNLgsWdstLHRxh9dbFyHbewbBMbZS4sBfG1jxozxLrvsMm/p0qVedXV17ferq6u9wsJCr2PHjt7YsWMdTujO0KFDvby8PG/btm1nrW3bts3r2bOnd9tttzmYzD3a2Gjjr2/fvt7gwYO9w4cPn7V2+PBhb/DgwV6/fv0cTOYee8ZGGxtt/NHFxnXYxr5BULizBIgjF1xwgRYvXqyePXv6rq9evVoDBw7UwYMHA57MvebNm2vlypXKzc31Xd+wYYP69OmjysrKgCdzjzY22vhr2rSp1q1bZ75Za/PmzerRo4eOHTsW8GTusWdstLHRxh9dbFyHbewbBIXHBANxpKampt7PpyYmJqqmpibAiWJHkyZNdOTIEXO9srJSTZo0CXCi2EEbG238RSIRlZaWmuulpaUN8nWVEnumPrSx0cYfXWxch23sGwSFwxIgjgwcOFDjxo1TcXHxWWvFxcWaMGGCBg0a5GAy94YNG6ZRo0Zp4cKFdf4APXLkiBYuXKjRo0dr+PDhDid0hzY22vgbO3asRo4cqSeeeEKbNm1SeXm5ysvLtWnTJj3xxBO66667NG7cONdjOsGesdHGRht/dLFxHbaxbxAY158DAvDVHThwwOvfv78XCoW8li1bepmZmV5mZqbXsmVLLxwOewMGDPAOHjzoekwnTpw44Y0fP95LTEz0wuGwl5SU5CUlJXnhcNhLTEz0JkyY4J04ccL1mE7QxkYb27Rp07zU1FQvFAp54XDYC4fDXigU8lJTU73p06e7Hs8Z9oyNNjba+KNL/bgO+2PfICg8swSIQ9u2bTvrVWl5eXnKzMx0PJl7R44c0YYNG+q06dKli5KTkx1P5h5tbLSx7dq1q06X9u3bO54oNrBnbLSx0cYfXerHddgf+wbnGoclAAAAAAAAZ+CZJQC+dcrKyrR3794639u7d6/KysocTRQ7aGOjjb+VK1dq/fr1db63fv16rVy50tFEsYM9Y6ONjTb+6GLjOmxj3+Bc4s4SIE6Fw2FlZWVpy5Yttd/LysrSjh07FI1GHU7mXjgcVmZmpkpKSmq/R5u/o42NNv7oYqONjTY22viji402NtrgXEpwPQCAf83LL7981ivjHn/8cR0+fNjNQDFkxYoVatq0aZ3vzZ49W8eOHXM0UeygjY02/nbt2qXGjRvX+d7y5ct1+vRpRxPFDvaMjTY22viji43rsI19g3OJO0sAAAAAAADOwJ0lQBw7efKkJKlJkyaOJ4kthw8frvNk9BYtWjieKHbQxkabs1VXV2vLli11umRnZ5/1E86Gij1jo42NNv7o4o/rcP3YNzin3L21GMC/YtmyZd6AAQO8SCTihcNhLxwOe5FIxBswYID35z//2fV4Ts2cOdPLysqq7fKPX1lZWd6sWbNcj+cUbWy0OVs0GvUefPBBLxKJeKFQqM6vSCTiPfTQQ140GnU9pjPsGRttbLTxRxd/XIfrx75BELizBIgjr732msaOHavbbrtNTzzxhFq3bi1JKi8v17Jly3TTTTfppZde0p133ul40uDNmDFDjzzyiH76058qPz//rDYTJ07UwYMHVVBQ4HjS4NHGRht/999/v1599VVNmzbNt8vDDz+sU6dOafr06Y4nDR57xkYbG2380cXGddjGvkFgXJ/WAPjqLrvsMu/ZZ5811//nf/7H69ChQ4ATxY709HRv/vz55vq8efO8tm3bBjhR7KCNjTb+Wrdu7S1dutRcX7p0qZeSkhLgRLGDPWOjjY02/uhi4zpsY98gKGHXhzUAvrqysjL17dvXXL/hhhv0+eefBzhR7Ni/f79ycnLM9ZycHFVUVAQ4UeygjY02/iorK5WWlmaup6amqqqqKsCJYgd7xkYbG2380cXGddjGvkFQOCwB4sgVV1yhl156yVx/+eWXlZ2dHeBEsaNbt26aNm2aqqurz1qLRqOaPn26unXr5mAy92hjo42/Pn36qKCgwPcvmxUVFZoyZYr69OkT/GAxgD1jo42NNv7oYuM6bGPfICi8OhiII++8844GDhyoSy65RH379q3zGc3ly5fr008/1eLFi9WrVy/HkwZv06ZNys/P1+nTp9WrV686bVauXKnExEQtW7ZMnTp1cjxp8Ghjo42/3bt366abbtK2bduUk5NTp8vmzZuVnZ2tRYsWqW3bto4nDR57xkYbG2380cXGddjGvkFQOCwB4kxpaamee+45rV27ts6r0vLy8jR+/Hi1a9fO7YAOVVZWas6cOb5tRowYoeTkZMcTukMbG2381dTUqLCw0LdLv379FA433JtT2TM22tho448uNq7DNvYNgsBhCQAAAAAAwBl4dTAQh6qrq7Vly5bak/TU1FRlZWWpcePGjidzb9++fSoqKqrTpnv37mrTpo3jydyjjY02/tatW6c1a9bU+aldz549+Sy42DP1oY2NNv7oYuM6bGPf4Jxz+SoeAF9PNBr1HnzwQS8SiXihUKjOr0gk4j300ENeNBp1PaYTR48e9W6//XavUaNGXkJCgpeSkuKlpKR4CQkJXqNGjbw77rjDq6qqcj2mE7Sx0cZfeXm5d+2113qhUMjLyMjwunfv7nXv3t3LyMjwQqGQd+2113rl5eWux3SCPWOjjY02/uhi4zpsY98gKA33g25AHLr//vv14osvatq0afr0009VVVWlqqoqffrpp5o+fbpefPFFPfDAA67HdGLixIlat26dFi9erBMnTqi8vFzl5eU6ceKE/vSnP2ndunWaOHGi6zGdoI2NNv5+/OMfKxqNauvWrSotLVVRUZGKiopUWlqqrVu3qqamRvfcc4/rMZ1gz9hoY6ONP7rYuA7b2DcIjOvTGgBfXevWrb2lS5ea60uXLvVSUlICnCh2RCIRb/Xq1eb6qlWrvEgkEuBEsYM2Ntr4a9asmbdx40Zzff369V6zZs0CnCh2sGdstLHRxh9dbFyHbewbBIU7S4A4UllZqbS0NHM9NTVVVVVVAU4UO2pqapSYmGiuJyYmqqamJsCJYgdtbLTx16RJEx05csRcr6ysVJMmTQKcKHawZ2y0sdHGH11sXIdt7BsEhcMSII706dNHBQUFqqioOGutoqJCU6ZMUZ8+fYIfLAYMHDhQ48aNU3Fx8VlrxcXFmjBhggYNGuRgMvdoY6ONv2HDhmnUqFFauHBhnb+sHzlyRAsXLtTo0aM1fPhwhxO6w56x0cZGG390sXEdtrFvEBjXt7YA+OrKysq8Tp06eQkJCV5ubq7Xv39/r3///l5ubq6XkJDgXXnllV5ZWZnrMZ04cOCA179/fy8UCnktW7b0MjMzvczMTK9ly5ZeOBz2BgwY4B08eND1mE7QxkYbfydOnPDGjx/vJSYmeuFw2EtKSvKSkpK8cDjsJSYmehMmTPBOnDjhekwn2DM22tho448uNq7DNvYNghLyPM9zfWAD4KurqalRYWGh1q5dW+c1cnl5eerXr5/C4YZ9w9i2bdvOesVeXl6eMjMzHU/mHm1stPF35MgRbdiwoU6XLl26KDk52fFk7rFnbLSx0cYfXWxch23sG5xrHJYAcWTq1KkqKChQ06ZNXY8Sc374wx/qqaeeUvPmzV2PEnNoY6ONv+uvv15vvvmmIpGI61FiDnvGRhsbbfzRxcZ12Ma+QVA4LAHiSKNGjbR3716lpKS4HiXm0MZGGxtt/IXDYe3bt48uPtgzNtrYaOOPLjauwzb2DYLSsO/XB+IMZ5s22thoY6MNvi72jI02Ntr4owv+FewbBCXB9QAAvp5QKOR6hJhVWVmppKSkev+ZhvoZX9rYaOOvpKSk9nPgliuvvDKgaWILe8ZGGxtt/NHFxnXYxr5BEPgYDhBHwuGwWrRo8U8PTA4cOBDQRLEjHA7X28XzPIVCIUWj0QCnig20sdHG3z+6+P0V4R/fb4hdJPZMfWhjo40/uti4DtvYNwgKd5YAcebRRx9VixYtXI8Rk9544w21bNnS9RgxiTY22vgrKipSq1atXI8Rk9gzNtrYaOOPLjauwzb2DYLAnSVAHOFhXzba2Ghjo40/uthoY6ONjTb+6GKjjY02CAoPeAXiCM8rAQAAAIBzj8MSII5wI5gtIyNDjRo1cj1GTKKNjTb+evfurcTERNdjxCT2jI02Ntr4o4uN67CNfYOg8DEcAAAAAACAM3BnCfAtsnPnTl1//fWux4hJW7du1SWXXOJ6jJhEGxtt/H344Yf8VM/AnrHRxkYbf3SxcR22sW/wTeGwBPgWOXr0qN59913XY8SkU6dO6bPPPnM9RkyijY02Nm5M9ceesdHGRht/dKkf12F/7Bt8U3h1MBBHnn766XrX//rXvwY0Sey577776l3/29/+FtAksYc2Ntr4u/XWW+tdP3z4cIN94DR7xkYbG2380cXGddjGvkFQeGYJEEfC4bBSU1PNB36dOnVK+/btUzQaDXgy9xo1aqSrr75aycnJvutHjx7Vxo0baeODNrT5ssaNG+vGG29U69atfdcPHDigRYsWNbguEnumPrSx0cYfXWxch23sGwTGAxA32rVr582fP99cLy4u9sLhcIATxY6OHTt6v/3tb8112tDGD2385eTkeLNmzTLXG2oXz2PP1Ic2Ntr4o4uN67CNfYOg8MwSII506dJFGzZsMNdDoVCD/fxq165daWOgjY02/rp06aKNGzea602aNFF6enqAE8UO9oyNNjba+KOLjeuwjX2DoPAxHCCOlJSU6NixY+ratavv+unTp7Vnzx5lZGQEPJl7+/bt08mTJxvk7/2foY2NNv5OnjypaDSqpk2buh4l5rBnbLSx0cYfXWxch23sGwSFwxIAAAAAAIAz8DYcIE4dPnxY+/btkyS1adNGLVq0cDxRbKiurtaWLVvqtMnOzlbjxo0dT+YebWy08bdv3z4VFRXV6dKjRw+1adPG8WTusWdstLHRxh9dbFyHbewbnHNOnpQC4F82c+ZMLysrywuHw3V+ZWVl1fsgsG+7aDTqPfjgg14kEvFCoVCdX5FIxHvooYe8aDTqekwnaGOjjb+jR496t99+u9eoUSMvISHBS0lJ8VJSUryEhASvUaNG3h133OFVVVW5HtMJ9oyNNjba+KOLjeuwjX2DoHBYAsSRX/7yl17Tpk29+++/31uxYoVXUlLilZSUeCtWrPAeeOAB7/zzz/dmzJjhekwnJk2a5LVq1cp7/vnnvV27dnnHjh3zjh075u3atct74YUXvJSUFG/y5Mmux3SCNjba+BszZox32WWXeUuXLvWqq6trv19dXe0VFhZ6HTt29MaOHetwQnfYMzba2Gjjjy42rsM29g2CwmEJEEfS09PrfXXwvHnzvLZt2wY4Uexo3bq1t3TpUnN96dKlXkpKSoATxQ7a2GjjLxKJeKtXrzbXV61a5UUikQAnih3sGRttbLTxRxcb12Eb+wZB4dXBQBzZv3+/cnJyzPWcnBxVVFQEOFHsqKysVFpamrmempqqqqqqACeKHbSx0cZfTU2NEhMTzfXExETV1NQEOFHsYM/YaGOjjT+62LgO29g3CAqHJUAc6datm6ZNm6bq6uqz1qLRqKZPn65u3bo5mMy9Pn36qKCgwPewqKKiQlOmTFGfPn2CHywG0MZGG38DBw7UuHHjVFxcfNZacXGxJkyYoEGDBjmYzD32jI02Ntr4o4uN67CNfYOg8OpgII5s2rRJ+fn5On36tHr16qXWrVtLksrLy7Vy5UolJiZq2bJl6tSpk+NJg7d7927ddNNN2rZtm3Jycuq02bx5s7Kzs7Vo0SK1bdvW8aTBo42NNv4OHjyoESNGqLCwUBdccIFSUlIk/f3utkOHDik/P19z585VJBJxO6gD7BkbbWy08UcXG9dhG/sGQeGwBIgzlZWVmjNnjtauXVvnVWl5eXkaMWKEkpOTHU/oTk1NjQoLC33b9OvXT+Fww72ZjjY22ti2bdumNWvWnNUlMzPT8WRusWdstLHRxh9d6sd12B/7BkHgsAQAAAAAAOAMHLkBce7mm2/W3r17XY8Rk3JycrR7927XY8Qk2tho4y85OVmffvqp6zFiEnvGRhsbbfzRxcZ12Ma+wbnAYQkQ51auXKnjx4+7HiMmlZaW6vTp067HiEm0sdHGHzei2tgzNtrYaOOPLjauwzb2Dc4FDksAAAAAAADOwGEJEOcyMjLUuHFj12PEpOuuu07nnXee6zFiEm1stPF3xx13NOgHSNeHPWOjjY02/uhi4zpsY9/gXOABrwAAAAAAAGfgzhLgW6SqqkorV650PUZMOnjwoGbPnu16jJhEGxtt/JWXl2vq1Kmux4hJ7BkbbWy08UcXG9dhG/sG3xTuLAG+RT788EN17txZ0WjU9SgxhzY22tho448uNtrYaGOjjT+62Ghjow2+KQmuBwCAb8KRI0fqXa+srAxokthDGxtt/G3atKne9e3btwc0Sexhz9hoY6ONP7rYuA7b2DcICneWAHGkZcuW9a5Ho1EdPXq0QZ6kh8NhhUIhc93zPIVCIdr4oA1tvuwfXfz+ivCP7zfELhJ7pj60sdHGH11sXIdt7BsEhTtLgDhy8uRJTZgwQTk5Ob7rn332mR599NGAp4oNzZs314MPPqgePXr4rn/88ce6++67A54qNtDGRht/LVu21C9/+UvdcMMNvutbtmzRoEGDAp4qNrBnbLSx0cYfXWxch23sGwSFwxIgjlx99dVq27atRo0a5bv+4YcfNtjDks6dO0uSevfu7bseiUR8fzrTENDGRht/Xbp00Z49e5SRkeG7fujQoQbZRWLP1Ic2Ntr4o4uN67CNfYOgcFgCxJGbb75Zhw4dMtdbtmypkSNHBjdQDBkxYoSOHz9urrdp00a/+MUvApwodtDGRht/48ePV1VVlbmenp6uV155JcCJYgd7xkYbG2380cXGddjGvkFQeGYJAAAAAADAGcKuBwAAAAAAAIglfAwHiDOnTp3SH/7wB61Zs0b79u2T9PfbDXv27KnBgwcrMTHR8YTuVFRU6OWXX/Ztc9ddd6lVq1aOJ3SHNjba+CspKdGzzz57Vpe8vDz95Cc/UXZ2tuMJ3WHP2Ghjo40/uti4DtvYNwgCH8MB4sgnn3yi/Px87dmzRz169FDr1q0lSeXl5SoqKtLFF1+sJUuWqEOHDo4nDd7777+v/Px8NW3aVH379q3TZvny5Tp27JgKCwvVtWtXx5MGjzY22vhbsmSJhgwZos6dOys/P79Olz//+c/asGGD/vd//1f5+fmOJw0ee8ZGGxtt/NHFxnXYxr5BUDgsAeLIjTfeqPPPP1+zZ89WcnJynbUjR45o5MiROn78uAoLCx1N6M53v/tdXXXVVXr++ecVCoXqrHmep/Hjx2vTpk1as2aNowndoY2NNv6uuuoqDR48WFOnTvVdf+SRR/Tmm29q06ZNAU/mHnvGRhsbbfzRxcZ12Ma+QVA4LAHiSNOmTbVu3Tp16tTJd33z5s3q0aOHjh07FvBk7p133nkqLi5WZmam7/q2bduUm5tb79PTv61oY6ONv/POO08ffPCBLr/8ct/17du36+qrr25wXST2TH1oY6ONP7rYuA7b2DcICg94BeJIJBJRaWmpuV5aWqpIJBLYPLGkTZs2Wrdunbm+bt262ts0Gxra2Gjjr127dlq8eLG5vnjxYmVkZAQ4Uexgz9hoY6ONP7rYuA7b2DcICg94BeLI2LFjNXLkSD388MO64YYbzvqM5n/+53/qP/7jPxxP6UZBQYHGjRunDRs2+LaZOXOmfvWrXzme0g3a2Gjjb+rUqRoxYoTeeecd38+DL126VHPnznU8pRvsGRttbLTxRxcb12Eb+waB8QDElWnTpnmpqaleKBTywuGwFw6HvVAo5KWmpnrTp093PZ5T8+bN83r06OElJCR4oVDIC4VCXkJCgtejRw9v/vz5rsdzijY22vhbvXq1N2zYMC89Pd1LTEz0EhMTvfT0dG/YsGHee++953o8p9gzNtrYaOOPLjauwzb2DYLAM0uAOLVr1646r0pr376944lix+nTp1VRUSFJ+s53vqPGjRs7nih20MZGG3xd7BkbbWy08UcX/CvYNziXeGYJEKfat2+vvLw81dTUKC0tzfU4MaVx48ZKTU3VO++8o1OnTrkeJ6bQxkab+k2bNk2HDh1yPUZMYc/YaGOjjT+6/HNch8/GvsG5xJ0lQJxLTk7WBx98oEsuucT1KDGHNjba2Gjjjy422thoY6ONP7rYaGOjDc4F7iwB4hznnTba2Ghjo40/uthoY6ONjTb+6GKjjY02OBc4LAEAAAAAADgDrw4G4twLL7zAu+QNS5Ys0UUXXeR6jJi0ZMkSnnVjYN/4KykpYc8Y2DM2rjU29o0/9oytpKSEPWPgv084F3hmCYBvtfLycnmepzZt2rgeJSZEo1FVVFQoHA6rVatWrseJKYcPH67zhqkWLVo4ngj4dvA8TzU1NWrUqJHrUWLOq6++qltuuYXrDb6Sjz/+WGVlZcrIyFCHDh1cjwN86/ExHCCO5OTk6LHHHtPu3btdjxJzDhw4oNtuu03p6emaMGGCotGoxo4dq9TUVF100UXq2bOn9u7d63pMZxYvXqxevXrp/PPPV1pamtq0aaNIJKI777xTZWVlrsdzatasWcrOzlbLli2VnZ1d5z+/9NJLrseLSR9++GGD/h++f/rTnzR27FhNnjxZ27Ztq7N28OBBXX/99Y4mc6u6uloPPfSQevfurV/84heSpBkzZqhZs2Zq2rSpRo0axdsqvmTcuHHas2eP6zGcWbdunaLRaO3XixYtUu/evXXRRRepa9eumj17tsPp3Hr88ce1fPlySX+/rvTt21eXX365brzxRl1++eUaMGBAg30zTvPmzTVmzBi99957rkfBtxyHJUAc2bJli5566im1b99e/fv314IFC1RdXe16rJgwadIkbd++XZMnT9bWrVs1dOhQvf/++/rLX/6iVatWqbq6Wvfff7/rMZ347W9/q+HDh6t79+4qKChQSkqKJk+erGnTpmn37t3q0qWLPv74Y9djOjFjxgxNnDhRgwcP1vLly/XRRx/po48+0vLlyzVkyBBNnDhRv/rVr1yPGZMa6o2pc+fO1fe+9z3t27dPa9asUW5url5//fXa9VOnTundd991OKE7jz76qGbNmqWuXbvqjTfe0IQJE/T000/rxRdf1MyZM7V8+XI9+eSTrsd0omXLlr6/qqurlZeXV/t1Q5OXl6cvvvhCkvTWW29p8ODBateunR588EHl5uZqzJgxWrhwoeMp3fjNb35TuycmT56sAwcOaMOGDTp27Jg2btyoQ4cOqaCgwPGUblRVVamoqEjXXnutsrKy9Otf/1p/+9vfXI+FbyE+hgPEkXA4rM8//1zr1q3Tyy+/rCVLluiCCy7QyJEjNWbMGGVlZbke0Zm0tDS98cYb6tmzp8rLy5WamqrCwkLdeOONkqTVq1dr2LBh+vzzzx1PGrysrCw98sgjGjZsmCRp/fr1uuWWW1RWVqZQKKQf/OAHOnXqlN58803HkwYvIyNDM2bM0Pe//33f9fnz52vSpEkN7u6bW2+9td71w4cP65133qnzE+GGIjc3V6NHj9ZPf/pTSdLvf/97/fCHP9RTTz2lMWPGqLy8XGlpaQ2yzaWXXqqnnnpKAwcO1CeffKLLL79cc+fOrb32/P73v9djjz2mzZs3O540eM2bN1fv3r317//+77Xf8zxPY8eO1dSpU2uftTBq1ChXIzoRDoe1b98+paSk6LrrrtO1116rxx9/vHb9v/7rv/TWW29pzZo1Dqd0IykpSdu3b1dGRobat2+v1157Tb169apd37BhgwYNGtQg70z6x77Zu3evZs2apblz5+ro0aMaOHCgxo4dq/79+ysUCrkeE98C3FkCxJmEhAQNGTJEf/zjH1VWVqZ7771Xf/zjH9WpUyf17NlTL7/8susRnTh8+HDtXzZbt26thIQEpaam1q6npaU12NtVP/vsM/Xo0aP2665du9b+JUOS7rvvPq1YscLVeE7t379fOTk55npOTo4qKioCnCg2vPXWWzpx4oRatGjh+6tZs2auR3Tm448/1qBBg2q//v73v6+33npLP/vZz/T88887nMy9PXv26KqrrpIkdejQQYmJibVfS1K3bt302WefuRrPqeLiYu3fv19vv/22hg4dqlGjRumuu+5SKBTSkCFDNGrUqAZ3UPJlO3bs0G233Vbne0OHDj3ro24NRUZGhj766CNJUigUUkJC3fdyNGrUSFVVVS5GixlXXXWVnnnmGe3Zs0evvvqqDh8+rIEDByo9PV0///nPXY+HbwEOS4A48uVT8tTUVD3wwAPasWOHli9frksvvbT2p50NzWWXXaZFixZJ+vsT0ZOSkrRs2bLa9cLCQrVv397VeE61a9dO69evr/1648aNCofDtW9RatmypU6fPu1qPKe6deumadOm+X6cLRqNavr06erWrZuDydzKysrS0KFD9corr/j+evTRR12P6ExycrLKy8vrfO/f/u3ftGjRIk2aNEnPPPOMo8nca9GiRZ1D6c6dO6t58+a1X588ebLB/rS3Q4cOeu+999SmTRtdffXVWr16teuRYkZJSYk2bdqk8847TzU1NWetN9SPG//oRz/SpEmT9Mknn+gnP/mJCgoKtHPnTknSrl27dO+996pfv36Op3Tjy9eRJk2aaPjw4fq///s/7dy5U3fddZdeffVVN8PhW4VXBwNxpL5PzfXp00d9+vTRkSNHApwodkyaNEmjRo3Sk08+qd27d2vOnDmaOHGiioqKFA6H9eabb+q///u/XY/pxD333KOxY8fq/fffV1JSkmbNmqU777yz9gGdRUVF6tixo+Mp3Xj22WeVn5+vNm3aqFevXrUHSOXl5Vq5cqUSExPrHLo1FF26dNHGjRs1ZswY3/UmTZooPT094KliQ/fu3bVkyRJ997vfrfP93r1766233tLAgQMdTeZedna2Nm7cWHu31pcPBDZv3qzLLrvMxWgxISEhQdOnT1d+fr5GjBih22+/vcEeHp3phhtuqP37zerVq+scUBcXFzfYa01BQYHKysqUnZ2tSy+9VKWlperYsaMSEhJUXV2tzp0763e/+53rMZ2o7+/D7dq102OPPaapU6cGOBG+rXhmCRBHRo8eraeffrrOT+rw/1m9erXWrl2rvLw89ezZUyUlJZo2bZqOHTumQYMGNehbnJ977jnNmTNHJ0+eVH5+vh5++GElJSVJ+vvHCqLRqDIzMx1P6UZlZaXmzJmjtWvX1nl1cF5enkaMGKHk5GTHEwbv5MmTikajatq0qetRYs67776r9957Tw888IDv+ooVKzR79my98sorAU/m3o4dO9S4cWPzLr65c+cqISHBfEZQQ/LFF1/oRz/6kVasWKG1a9fq8ssvdz2SE1/+WFazZs104YUX1n79j7fhjBw5MtC5YsnWrVu1aNEiffrpp6qpqVFqaqquueYa9e3bt8Eetj366KOaNGkSf0bhnOOwBAAAAAAA4Ax8DAeIQ9XV1dqyZUudn4JnZ2ercePGjidzjzY22nx9p0+f1t69exvsbeCW6upq7dmzhy4+aGOjjY02/uhi488nG/sG3xQe8ArEkZqaGj300ENq1aqVcnNzNWDAAA0YMEC5ublKSUnRww8/7PtwtIaANjba/OtKSkoa7IOB67Nlyxa6GGhjo42NNv7oYuPPJxv7Bt8U7iwB4sj999+vV199VdOmTVN+fn6dh1EuW7ZMDz/8sE6dOqXp06c7njR4tLHRBgAAAPh6eGYJEEfatGmj1157Tfn5+b7rhYWFGjly5FmvtWwIaGOjja1z5871rh8/flw7duxQNBoNaKLYQBcbbWy0sdHGH11stLHRBkHhzhIgjlRWViotLc1cT01NVVVVVYATxQ7a2GhjKykp0Q9+8APzdt29e/dqx44dAU/lHl1stLHRxkYbf3Sx0cZGGwSFO0uAOHLzzTerurpar7/+ur7zne/UWauoqNCdd96pRo0aadGiRY4mdIc2NtrYunbtqjFjxmjChAm+6x988IG6dOnS4H46RRcbbWy0sdHGH11stLHRBkHhzhIgjjz//PO66aablJqaqpycnDrPnti8ebOys7Mb5P/glWhTH9rYrrnmGm3fvt1cb968uXr16hXgRLGBLjba2Ghjo40/uthoY6MNgsKdJUCcqampUWFhodauXVvnFbB5eXnq16+fwuGG+5Ir2thoAwAAAHx1HJYAAAAAAACcgY/hAHFo3bp1WrNmTZ07BHr27Klu3bo5nsw92thoY/Nrk5eXp+7duzuezC262Ghjo42NNv7oYqONjTY417izBIgj+/fv19ChQ7V69Wqlp6fXefZEWVmZrrnmGi1YsEApKSmOJw0ebWy0sdHGH11stLHRxkYbf3Sx0cZGGwSFD6kDceTHP/6xotGotm7dqtLSUhUVFamoqEilpaXaunWrampqdM8997ge0wna2Ghjo40/uthoY6ONjTb+6GKjjY02CAp3lgBxpHnz5lq5cqVyc3N91zds2KA+ffqosrIy4Mnco42NNjba+KOLjTY22tho448uNtrYaIOgcGcJEEeaNGmiI0eOmOuVlZVq0qRJgBPFDtrYaGOjjT+62Ghjo42NNv7oYqONjTYICoclQBwZNmyYRo0apYULF9b5Q+LIkSNauHChRo8ereHDhzuc0B3a2Ghjo40/uthoY6ONjTb+6GKjjY02CIwHIG6cOHHCGz9+vJeYmOiFw2EvKSnJS0pK8sLhsJeYmOhNmDDBO3HihOsxnaCNjTY22viji402NtrYaOOPLjba2GiDoPDMEiAOHTlyRBs2bKjzqrQuXbooOTnZ8WTu0cZGGxtt/NHFRhsbbWy08UcXG21stMG5xmEJAAAAAADAGXhmCRBnjh8/rlWrVqmkpOSstRMnTmj27NkOpooNtLHRxkYbf3Sx0cZGGxtt/NHFRhsbbRAIt58CAvB1bN++3cvIyPBCoZAXDoe9Xr16eX/9619r1/ft2+eFw2GHE7pDGxttbLTxRxcbbWy0sdHGH11stLHRBkHhzhIgjkyZMkWdOnXS/v37tX37djVv3lzXXnutysrKXI/mHG1stLHRxh9dbLSx0cZGG390sdHGRhsExvVpDYCvLiUlxdu0aVPt1zU1Nd748eO99PR0b+fOnQ36JJ02NtrYaOOPLjba2Ghjo40/uthoY6MNgsKdJUAcOX78uBISEmq/DoVCeu655zRo0CD17t1bO3bscDidW7Sx0cZGG390sdHGRhsbbfzRxUYbG20QlIR//o8AiBWZmZlav369srKy6nz/2WeflSR973vfczFWTKCNjTY22viji402NtrYaOOPLjba2GiDoHBnCRBHbrnlFv3ud7/zXXv22Wc1fPhweQ30beC0sdHGRht/dLHRxkYbG2380cVGGxttEJSQx04CAAAAAACoxZ0lAAAAAAAAZ+CwBAAAAAAA4AwclgAAAAAAAJyBwxIAAAAAAIAzcFgCAAAAAABwBg5LAAAAJHmep759+yo/P/+std/85jeKRCL6/PPPHUwGAACCxmEJAACApFAopFdeeUVFRUV64YUXar+/a9cuTZ48Wc8884wuvvjib/T/5+nTp7/Rfx8AAPhmcFgCAADw/2rbtq2eeuopFRQUaNeuXfI8T2PGjFG/fv2Um5urAQMGqFmzZmrdurXuvPNOVVRU1P7fLl26VNdee60ikYguvPBCDRw4UDt37qxdLy0tVSgU0vz589W7d28lJSXp9ddfd/HbBAAA/0TI8zzP9RAAAACxZMiQITp8+LBuvfVWPfbYY9qyZYuuuOIKjR07ViNHjtTx48c1ZcoUVVdX6+2335YkLViwQKFQSFdeeaWOHj2qn//85yotLdUHH3ygcDis0tJStW/fXu3atdOvf/1r5ebmKikpSampqY5/twAA4Ms4LAEAAPiS/fv364orrtCBAwe0YMECffTRR/rLX/6iwsLC2n/m888/V9u2bbV9+3Z17NjxrH9HRUWFWrVqpc2bN6tTp061hyVPPvmkJk6cGORvBwAAfE18DAcAAOBLUlJSdPfddysrK0tDhgzRhx9+qBUrVqhZs2a1vzIzMyWp9qM2H3/8sYYPH65LLrlEycnJateunSSprKyszr+7a9eugf5eAADA15fgegAAAIBYlJCQoISEv/9V6ejRoxo0aJCmT59+1j/3j4/RDBo0SBkZGZo5c6bS0tJUU1OjTp066dSpU3X++fPPP//cDw8AAP5/4bAEAADgn+jcubMWLFigdu3a1R6gnOmLL77Q9u3bNXPmTF133XWSpFWrVgU9JgAA+IbwMRwAAIB/4p577tGBAwc0fPhwvf/++9q5c6cKCws1evRoRaNRXXDBBbrwwgv14osv6pNPPtHbb7+t++67z/XYAADgX8RhCQAAwD+Rlpam1atXKxqNql+/fsrJydHPfvYzRSIRhcNhhcNhzZs3Txs2bFCnTp107733asaMGa7HBgAA/yLehgMAAAAAAHAG7iwBAAAAAAA4A4clAAAAAAAAZ+CwBAAAAAAA4AwclgAAAAAAAJyBwxIAAAAAAIAzcFgCAAAAAABwBg5LAAAAAAAAzsBhCQAAAAAAwBk4LAEAAAAAADgDhyUAAAAAAABn4LAEAAAAAADgDByWAAAAAAAAnOH/AXm8Z2Ym6nbAAAAAAElFTkSuQmCC\n"
},
"metadata": {}
}
],
"source": [
"#For the sake of interpretability which is focal to our work, let us visualize using a heatmap\n",
"# Pivot the data to create a matrix with 'Country' as rows, 'Year' as columns, and 'Mortality Rate' as values\n",
"pivot_table = sorted_merged_gdf.pivot(index='Country Name_right', columns='Year', values='Mortality Rate')\n",
"\n",
"# Plotting\n",
"plt.figure(figsize=(12, 8))\n",
"sns.heatmap(pivot_table, cmap='YlGnBu', linewidths=0.5, annot=True, fmt=\".1f\")\n",
"plt.title('Temporal Trend of Mortality Rate by Country')\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Country')\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YqEX0RvDlR8y"
},
"source": [
"From here we can also see the trends of countries along the years based on their mortality rate. We have an understanding of what the level of mortality will be for each country as indicated above"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 752
},
"id": "DdEJzd3fH6wL",
"outputId": "120d4aaf-05a3-4c5a-f9b6-f9109f02e8fb"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.figure(figsize=(10, 6))\n",
"plt.bar(df_cases['Year'], df_cases['Case Fatality Rate (%)'], color='skyblue')\n",
"plt.title('Case Fatality Rate Over Time (From 2010 - 2017)')\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Case Fatality Rate (%)')\n",
"plt.grid(axis='y')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cXCoUy11AmjM"
},
"source": [
"From the barplot above, we can observe that year 2010 and 2014 recorded the highest case fatality rate. Let us investigate further what countries have the highest case fatality."
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 718
},
"id": "uQlfzcRkio0u",
"outputId": "9ece91a2-70f6-46e3-e2d1-b91b720dda75"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"# Get the countries with the highest case fatality rates\n",
"top_countries = df_cases.nlargest(10, 'Case Fatality Rate (%)')\n",
"\n",
"plt.figure(figsize=(12, 8))\n",
"plt.barh(top_countries['Country Name'], top_countries['Case Fatality Rate (%)'], color='skyblue')\n",
"plt.xlabel('Case Fatality Rate (%)')\n",
"plt.ylabel('Country')\n",
"plt.title('Countries with Highest Case Fatality Rates')\n",
"plt.gca().invert_yaxis() # Invert y-axis to have the highest rate on top\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "sVs88YtKBD3q"
},
"source": [
"The chart above reveal the countries with the highest case fatality rate with Cameroon and Central African Republic, Chad topping the chart"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 718
},
"id": "huRmT27Q-gjG",
"outputId": "ce345369-7846-4113-83f0-615b661a7233"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"#Let us investigate the years to know which country has the highest case fatality rate in 2010 and 2014\n",
"# Choose a specific year\n",
"selected_year = '2010-01-01'\n",
"\n",
"# Get the countries with the highest case fatality rates for the selected year\n",
"top_countries = df_cases[df_cases['Year'] == selected_year].nlargest(10, 'Case Fatality Rate (%)')\n",
"\n",
"plt.figure(figsize=(12, 8))\n",
"plt.barh(top_countries['Country Name'], top_countries['Case Fatality Rate (%)'], color='skyblue')\n",
"plt.xlabel('Case Fatality Rate (%)')\n",
"plt.ylabel('Country')\n",
"plt.title(f'Countries with Highest Case Fatality Rates in {selected_year}')\n",
"plt.gca().invert_yaxis() # Invert y-axis to have the highest rate on top\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NB9EQRE3BqL9"
},
"source": [
"The above chart indicates the countries with the highest mortality rate in 2010 with Cameroon 🇨🇲 , Central Africa Republic and Guinea 🇬🇳 topping the charts"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 718
},
"id": "10R3bRb2CF1z",
"outputId": "3e30a95f-9949-4c22-c27f-ca8fa82e0684"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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09fWVs7OzdWZGSkqK4uLi5OHhoVKlSqX7FKWsnuvDcnBwUNu2bbV06VKb24jmzp2r6tWrq1ixYg/s49q1a8qfP7/y58+vEiVKKDIyUjVq1NCSJUts/rbcez63bt1SXFycSpQoIR8fH7uuyeP4G5KRevXq2cxMK1u2rLy8vOz+nb/r+vXratWqlVxdXTVy5EibfX///Xe6ayu5uLhY92dWXFycBg0apIEDByp//vyZPv7umBnVlZ1PhnycYwF48nDrFgDgqefl5SVJNl+s7ufPP/+Ug4ODSpQoYbPd19dXPj4+mQpl/qlIkSI27+/eapGZL0j2fBk8evSoJKlu3brp7r97TZydnTVq1Cj17dtXBQoU0AsvvKDGjRurQ4cO8vX1ve8YNWvW1NSpU3Xs2DEdP35cFotF1apVswZA3bp108aNG1WjRo1MrW/xT/+8ZtKd62bvNXvuuedUr169NNtPnz79wGPvfhb+ec3/+dm41/1+xl5eXjp69KgMw7B5qs+9cuXKJenOz7lPnz4aO3as5s6dq5o1a+rVV19Vu3btrCFQZmX2y3JsbKwGDRqkpUuXprned9cJsuczZO/n8UFCQ0PT/VmmpqZq/Pjxmjx5sk6ePKmUlBTrPntv9bHnXLNDhw4dNGrUKC1atEgdOnTQ4cOHtXv3bk2dOtWu411cXPSf//xH0p3P8OjRo3XhwgWbYEe680V+xIgRmjlzpv766y8ZhpGp83kcf0My8rC/89KdwK9NmzY6ePCgVqxYoUKFCtnsd3V1TbPmmiTrY+r/eT3tMWDAAOXNm/e+QbB0Z02pmzdv2tTi7e1tHTOjurJS0+McC8DTg6AHAPDU8/LyUqFChfTHH39k6rh/LhKaGfd+0bxXRjNx7v0S9iD2/A/w1NRUSXfW2Ejvy9a9i2/27t1bTZo00eLFi7Vq1SoNHDhQI0aM0Lp16/T8889nOMbdxXx//fVXnThxQhUqVJC7u7tq1qypCRMmKCkpSXv27LFZ3DcrsuOaPU4Pqjc1NVUWi0UrVqxIt62Hh4f132PGjFFERISWLFmi//73v+rVq5dGjBihbdu2WRfizozSpUtrz549OnXqlPz8/O7bNiUlRfXr19fly5f1wQcfqHTp0nJ3d9dff/2liIgI62dMevBnKDOfx6wYPny4Bg4cqM6dO+uTTz5R3rx55eDgoN69e9vUmR3n+rCCg4NVsWJFffvtt+rQoYO+/fZb5c6dW61bt7breEdHR5uwKzw8XKVLl9abb75pXYNJujPrbObMmerdu7eqVasmb29vWSwWtWnTxq7zeRx/Q+53junJzO98t27d9PPPP2vu3LnphlUFCxbU2bNn02y/u+2fwdCDHD16VNOmTdO4ceN05swZ6/YbN27o1q1biomJkZeXl/LmzasWLVpow4YN1jYdO3ZUVFSU9UEBZ8+eTfP7efbsWVWpUiVTNUl6rGMBeHoQ9AAATKFx48aaNm2atm7dqmrVqt23bdGiRZWamqqjR4/aLAp8/vx5xcfHq2jRotZtefLkUXx8vM3xN2/eTPcLhL0eJmC66+5tD88++2y6MyDSa9+3b1/17dtXR48eVfny5TVmzBh9++23GR5TpEgRFSlSRBs3btSJEyest1fVqlVLffr00fz585WSkqJatWrdd+zsON9H5e5n4eTJkzYzcI4dO5blPosXLy7DMFSsWDGVLFnyge1DQ0MVGhqqAQMGaMuWLapRo4amTp2qTz/9VFLmrl+TJk30/fff69tvv1X//v3v23b//v06cuSIZs2apQ4dOli3r169OsPzyugzlNnPY2b99NNPqlOnjqZPn26zPT4+3uYpTBldq8ye64M86GfSoUMH9enTR2fPntV3332nRo0a2SyknBkFCxbU+++/r6FDh2rbtm164YUXJN25Jh07dtSYMWOsbW/cuJHm71VGtT6OvyGPyr/+9S/NnDlT48aN0xtvvJFum/Lly2vjxo1KTU21mXG4fft2ubm52fW7ea+//vpLqamp6tWrl3r16pVmf7FixfTee+9p3LhxGjNmjM3spLuhUvny5SVJu3btsglazpw5o9OnT1sXXM+MxzkWgKcHa/QAAEyhX79+cnd3V9euXXX+/Pk0+48fP67x48dLkho2bChJaR6NO3bsWEmyeeJS8eLF9euvv9q0mzZtWoYzeuzh7u6e5stYZoWHh8vLy0vDhw9P91HOdx/pfv36deutCncVL15cnp6e6U7p/6eaNWtq3bp12rFjhzXoKV++vDw9PTVy5Ei5urqqYsWK9+3D3d1dkh76nB+F8PBwSdLkyZNttk+cODHLfbZo0UKOjo4aOnRomhkKhmEoLi5O0p31dG7fvm2zPzQ0VA4ODjY/m8x8Xl577TWFhoZq2LBh2rp1a5r9V69etT7t7e6sintrNAzD+ntylz2fIXs/j1nl6OiY5lrOnz9ff/31l822jD5r9p6rvR70mX7jjTdksVj03nvv6cSJE2rXrl2WxrmrZ8+ecnNzs1mHJr1rMnHixDR/mzKq9XH9Dclun332mT7//HP9+9//1nvvvZdhu9dee03nz5/XwoULrdsuXbqk+fPnq0mTJumuXXM/ISEhWrRoUZpXmTJlVKRIES1atEhdunSRJFWsWFH16tWzvoKDgyXdeTx86dKl0/z/kClTpshisei1117LVE2PeywATw9m9AAATKF48eL67rvv9PrrrysoKEgdOnRQSEiIbt68qS1btmj+/PmKiIiQJJUrV04dO3bUtGnTFB8fr7CwMO3YsUOzZs1Ss2bNVKdOHWu/Xbt21VtvvaWWLVuqfv362rdvn1atWmUziyCzKlasqClTpujTTz9ViRIl9Oyzz2a4TkZGvLy8NGXKFLVv314VKlRQmzZtlD9/fsXGxmrZsmWqUaOGJk2apCNHjuill15S69atFRwcLCcnJy1atEjnz59XmzZtHjhOzZo1NXfuXFksFuutXI6OjqpevbpWrVql2rVrK3fu3Pfto3z58nJ0dNSoUaOUkJAgZ2dn1a1bV88++2ymzvlRqFixolq2bKlx48YpLi7O+nj1I0eOSMrabKTixYvr008/Vf/+/RUTE6NmzZrJ09NTJ0+e1KJFi9S9e3dFRkZq3bp1evfdd9WqVSuVLFlSt2/f1pw5c+To6KiWLVva1LhmzRqNHTtWhQoVUrFixVS1atV0x86VK5cWLlyoevXqqVatWmrdurVq1KihXLly6cCBA/ruu++UJ08eDRs2TKVLl1bx4sUVGRmpv/76S15eXlqwYEGadVLs+QzZ+3nMqsaNG+vjjz9Wp06dVL16de3fv19z585VQEBAmmvv4+OjqVOnytPTU+7u7qpatard52qvB32m8+fPrwYNGmj+/Pny8fGxCY+z4plnnlGnTp00efJkRUdHKygoSI0bN9acOXPk7e2t4OBgbd26VWvWrEmzZtH9an0cf0Oy06JFi9SvXz8FBgYqKCgozWyi+vXrq0CBApLuBD0vvPCCOnXqpIMHDypfvnyaPHmyUlJSNHToUJvjfv31V2ugf/HiRV27ds06o65WrVqqVauW8uXLp2bNmqWp6e5/MEhvX3o+++wzvfrqq3r55ZfVpk0b/fHHH5o0aZK6du1qM8NUkrWGAwcOSLpzm92mTZsk3Vkv6EkaC8AT5rE/5wsAgEfoyJEjRrdu3Qx/f38jd+7chqenp1GjRg1j4sSJxo0bN6ztbt26ZQwdOtQoVqyYkStXLsPPz8/o37+/TRvDuPO45A8++MDIly+f4ebmZoSHhxvHjh3L8PHq9z7K2zD+/2Oj731U7blz54xGjRoZnp6ehiTro3wz6uPefXcfr35v/+Hh4Ya3t7fh4uJiFC9e3IiIiDB27dplGIZhXLp0yXjnnXeM0qVLG+7u7oa3t7dRtWpVY968eXZdzwMHDhiSjKCgIJvtn376qSHJGDhwYJpj/nltDMMwvv76ayMgIMBwdHS0uR5FixY1GjVqlKaPsLCw+z7i+C5JxjvvvJPuvvSuZ3qPe7527ZrxzjvvGHnz5jU8PDyMZs2aGYcPHzYkGSNHjkxz7MWLF9Md558/mwULFhgvvvii4e7ubri7uxulS5c23nnnHePw4cOGYRjGiRMnjM6dOxvFixc3XFxcjLx58xp16tQx1qxZY9PPoUOHjFq1ahmurq6GJLsetX7lyhVj0KBBRmhoqOHm5ma4uLgYISEhRv/+/Y2zZ89a2x08eNCoV6+e4eHhYeTLl8/o1q2b9VHXdx9RnpnP0IM+jxm5+3uS0aPmb9y4YfTt29coWLCg4erqatSoUcPYunVrup+TJUuWGMHBwYaTk5PNedhzroZh3+PVDSPjz/Rd8+bNMyQZ3bt3v++53+vu49XTc/z4ccPR0dFax5UrV4xOnToZ+fLlMzw8PIzw8HDj0KFDma71Uf4Nyejx6un9zqZXd0b9ZfT658/g8uXLRpcuXYxnnnnGcHNzM8LCwtL9+3q/fgcPHnzfmjLzePW7Fi1aZJQvX95wdnY2nnvuOWPAgAHGzZs307S737k+iWMBeHJYDOMJXekQAAAgh+zdu1fPP/+8vv32W7Vt2zany8FTaMmSJWrWrJl+/fVX622PAAA8DqzRAwAA/qf9/fffabaNGzdODg4OD1xoGsjI119/rYCAAOstjwAAPC6s0QMAAP6njR49Wrt371adOnXk5OSkFStWaMWKFerevfsDH1EO/NMPP/yg33//XcuWLdP48eOf6KfOAQDMiVu3AADA/7TVq1dr6NChOnjwoJKSklSkSBG1b99eH330kZyc+G9iyByLxSIPDw+9/vrrmjp1Kp8hAMBjR9ADAAAAAABgEqzRAwAAAAAAYBIEPQAAAAAAACbBTcNAFqSmpurMmTPy9PRkkUUAAAAAwCNnGIauXr2qQoUKycEh43k7BD1AFpw5c4YnsQAAAAAAHrtTp07pueeey3A/QQ+QBZ6enpLu/IJ5eXnlcDUAAAAAALNLTEyUn5+f9ftoRgh6gCy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},
"metadata": {}
}
],
"source": [
"#For 2014\n",
"# Choose a specific year\n",
"selected_year = '2014-01-01'\n",
"\n",
"# Get the countries with the highest case fatality rates for the selected year\n",
"top_countries = df_cases[df_cases['Year'] == selected_year].nlargest(10, 'Case Fatality Rate (%)')\n",
"\n",
"plt.figure(figsize=(12, 8))\n",
"plt.barh(top_countries['Country Name'], top_countries['Case Fatality Rate (%)'], color='skyblue')\n",
"plt.xlabel('Case Fatality Rate (%)')\n",
"plt.ylabel('Country')\n",
"plt.title(f'Countries with Highest Case Fatality Rates in {selected_year}')\n",
"plt.gca().invert_yaxis() # Invert y-axis to have the highest rate on top\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ER8vVUdxCSU6"
},
"source": [
"From here, it can be seen that Cameroon still has the highest case fatality rate while Central African Republic and Guinea reduced significantly, however, they still remain in the top 10 countries with high case fatality risk."
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Q73PoDmQEw9D",
"outputId": "02ac3310-bb40-4724-c1ce-ff31f76e844c"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name', 'Year',\n",
" 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death', 'Malaria Confirmed Cases',\n",
" 'Use of insecticide-treated bed nets (% of under-5 population)',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'geometry', 'Total Malaria Cases',\n",
" 'Mortality Rate', 'Prevalence Rate', 'Case Fatality Rate (%)'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 70
}
],
"source": [
"df_cases.columns"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5nY4K7--EbSR"
},
"source": [
"# Let us consider other variables as they relate to the case fatality rate\n",
"\n",
"\n",
"* We will explore preventive measures (ITN in chidren under age5, IPTp in pregnant women, ACT\n",
"*"
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_KtCuDlsN8WA",
"outputId": "f342fc87-f5c9-4181-c430-22e410cbd0ac"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name', 'Year',\n",
" 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death', 'Malaria Confirmed Cases',\n",
" 'Use of insecticide-treated bed nets (% of under-5 population)',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'geometry', 'Total Malaria Cases',\n",
" 'Mortality Rate', 'Prevalence Rate', 'Case Fatality Rate (%)'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 71
}
],
"source": [
"df_cases.columns"
]
},
{
"cell_type": "code",
"execution_count": 72,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 564
},
"id": "TJ1iqUsld93a",
"outputId": "81db4210-fa78-4345-d7ea-904716fdcec3"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"# Group data by year and calculate the mean case fatality rate for each year\n",
"mean_cfr_by_year = df_cases.groupby('Year')['Case Fatality Rate (%)'].mean()\n",
"\n",
"# Plotting the trend of mean case fatality rate over time\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(mean_cfr_by_year.index, mean_cfr_by_year.values, marker='o')\n",
"plt.title('Trend of Mean Case Fatality Rate Over Time')\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Mean Case Fatality Rate (%)')\n",
"plt.grid(True)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "tX8R1k4EjQrA",
"outputId": "0e7d7e29-cd12-461b-b4fc-7207665dc5ce"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"\n",
"\n",
"# List of preventive measures columns\n",
"preventive_measures = ['Use of insecticide-treated bed nets (% of under-5 population)',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)']\n",
"\n",
"# Calculate correlations between each preventive measure and case fatality rate for the same year\n",
"correlation_data = df_cases.groupby('Year')[preventive_measures + ['Case Fatality Rate (%)']].corr()\n",
"\n",
"# Filter correlations with case fatality rate\n",
"case_fatality_corr = correlation_data.xs('Case Fatality Rate (%)', level=1)\n",
"\n",
"# Plotting a heatmap to visualize correlations\n",
"plt.figure(figsize=(10, 6))\n",
"sns.heatmap(case_fatality_corr, annot=True, cmap='coolwarm', center=0)\n",
"plt.title('Correlation Between Preventive Measures and Case Fatality Rate')\n",
"plt.xlabel('Preventive Measures')\n",
"plt.ylabel('Preventive Measures')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "EIo7HFZdm1sD",
"outputId": "91bbb1be-14cd-4bed-f33a-bc1477be0bfd"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
":16: FutureWarning:\n",
"\n",
"Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
"\n",
":18: FutureWarning:\n",
"\n",
"The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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l2rRpI1hbW4u/b9myRVBSUhLOnj0rVW716tUCAOHcuXPiMgCCmpqacP/+fXHZjRs3BADC8uXLxWXz58/P09dz7lfv3r3F36dMmSKoqqoKr1+/FpelpqYKBgYGUm3cv39/wdzcXEhISJBaX/fu3QV9fX2Z51Lu7bZt21b49OmTYGZmJsycOVMQBEG4e/euAEA4ffq0eI5evnxZfF+zZs0EZ2dnqfMxMzNTaNiwoVC5cmVx2cePH4WMjAypbcbGxgrq6urCjBkzxGXt27cXnJycCqxr7969ZZ7v2X0vJwCCkpKScOfOHanl8raXPPUpCjc3tzzrk7ffeHt7C0pKSlLtny37vMy+Fp86dUoQBEFIS0sTTExMhBo1agipqali+bVr1woABDc3N3FZSfR1eeos7zmbHzc3N8He3l68ZkRGRgoTJkwQAAht27aVKivrPPjrr78EAMKZM2fEZfmdo/JeM4sqd73S0tKEqlWrCk2bNpVaLm+7d+jQQdDQ0BAePnwoLrt7966grKyc5xzJbd++fQIAYfHixXLV/dOnT1J9SxAE4c2bN4KpqanUNWrUqFGCnp6e8OnTp3zXVRx9QdbnbvY19Uu/U8i7r4Ig5PmslvUdx8nJSeoczLZmzRqpz25ByOoTRkZGUp8PsmR/7/Hz8xNevnwpPHv2TDh79qxQp04dAYCwc+dOqfKy2sTDw0Pqc7Cgun7pMSP6mph+h4iIiIi+adkpb+QZYQcAhw8fBgCMHTtWavm4ceMAIE/u/UqVKuWbhqN3795SOc3Dw8MRHR2Nnj174tWrV0hISEBCQgLev3+PZs2a4cyZMwU+np1zXe/evUNCQgJcXV2RkpKCyMhIufYvp/j4eISHh6NPnz4wNDQUl1erVg0tWrQQ2yKnIUOGSP3u6uqKV69eie1cEA0NDRw/fhzHjx9HcHAw1qxZAx0dHbRp0wb37t0Ty+3cuROurq4oU6aM2EYJCQlo3rw5MjIycObMmUK35erqKqbUePfuHW7cuIFBgwbByMhIXH727FkYGBigatWqAIA9e/YgMzMTXl5eUts1MzND5cqVxZQCn3Mcv6Td3r9/D2NjYxgbG8PW1ha//PILGjRokOepEVl9Ud62bNq0KYyMjBAYGCi+982bNzh+/LhUeqKdO3fCwcEB9vb2Uutr2rQpAORJu9C8eXNxhDuQ1bf09PTw4MGDQvdblm7duiE9PR179uwRlx07dgyJiYliPQVBwO7du+Hp6QlBEKTq6eHhgaSkJFy7dk2u7SkrK8PLy0tM77Bt2zZYWlqKqRtyev36NU6ePAkvLy/x/ExISMCrV6/g4eGB6OhoPH36FEDWXAHZ82tkZGTg1atX0NHRgZ2dnVTdDAwM8OTJE1y+fPmz2ksWNzc3ODo6ir8Xpb1Koj6yFNZvMjMzERQUBE9PT9SuXTvP+3OnHcp25coVvHjxAkOGDJEayd+nTx/o6+tLlS3uvi5vnYvj+hcZGSleM+zt7TF//nz8+OOPeVKv5fxM+fjxIxISElC/fn0AkOsckfeaWVQ56/XmzRskJSXB1dVVZp0Ka/eMjAwEBwejQ4cOqFChgljOwcEh38/unIr6HUJZWVnsW5mZmXj9+jU+ffqE2rVr5zm3379/j+PHj+e7ruLoC1ZWVuLnbvbPxIkTAXz5dwp59/VLeXl5QUNDA9u2bROXBQcHIyEhQe75Anx8fGBsbAwzMzO4uroiIiICCxcuRJcuXaTK5WyTpKQkJCQkwM3NDQ8ePEBSUlKh2ymOY0b0tTD9DhERERF90/T09ABk/cEqj4cPH0JJSQm2trZSy83MzGBgYICHDx9KLa9UqVK+68r9WnR0NADkSR2SU1JSUp7HwbPduXMHv/76K06ePJknGCzPH5u5Ze9LzpRB2RwcHBAcHIz3799DW1tbXJ4zKAL8++j6mzdvxLbOj7KyMpo3by61rE2bNqhcuTKmTJkiTjoaHR2NmzdvykzBAkAqJ3R+XF1dsXr1aty/fx8xMTGQSCRo0KCBGOwfOHAgzp49i0aNGonB1ejoaAiCgMqVK8tcZ3a6lc85jl/SbhoaGjhw4AAAiDm4y5cvn6ecrL4ob1uqqKigc+fOCAgIQGpqKtTV1bFnzx6kp6dLBfWjo6MREREh97HJvd9A1r6/efMmn70tWPXq1WFvb4/AwED0798fQFbqHSMjIzHY+vLlSyQmJmLt2rVYu3atXPUsSM+ePbFs2TLcuHEDAQEB6N69u8yg8f379yEIAqZNm4Zp06blu10LCwtkZmZi6dKlWLlyJWJjY6VyWOdMqTRp0iScOHECdevWha2tLVq2bImePXuiUaNGctc/t9z9pCjtVRL1kaWwfvPy5Uu8fftWvCEnr+xrXu5zXFVVFdbW1lLLiruvy1vn4rj+WVlZ4c8//0RmZiZiYmIwa9YsvHz5Ms+kwa9fv4afnx+2b9+eZ73yfKbIe80sqoMHD+K3335DeHi41PwFss47edr9w4cPMutoZ2cn8+Z1TkX9DgEAmzZtwsKFCxEZGSk1gW7Oc2/YsGHYsWMHWrduDQsLC7Rs2RJeXl5o1aqVWKY4+oK2tnaez91sxfGdQp59/VIGBgbw9PREQEAAZs6cCSDrBquFhYV43S/MoEGD0LVrV3z8+BEnT57EsmXLpK672c6dOwcfHx9cuHAhz7w3SUlJeW7+5VYcx4zoa2FQn4iIiIi+aXp6eihXrhxu375dpPflN9Izt5yjugp7LXv09vz58/PNNZtf/vvExES4ublBT08PM2bMgI2NDTQ0NHDt2jVMmjTpq03ApqysLHO5IAiftb7y5cvDzs5OavRaZmYmWrRoIY4mzK1KlSqFrveHH34AAJw5cwYPHjxArVq1xEn8li1bhuTkZFy/fh2zZs2S2q5EIsGRI0dk7mf2sfmc4/gl7SbrZogssvpiUdqye/fuWLNmDY4cOYIOHTpgx44dsLe3R/Xq1aXW5+zsjEWLFslcX86c5Nl1l+Vz+wuQNVp/1qxZSEhIgK6uLvbv348ePXqIky1nH5+ffvop3xsv2XMtyKNevXqwsbHB6NGjERsbm2/u+Oztjh8/Pt8RwNk3C2fPno1p06ahX79+mDlzJgwNDaGkpITRo0dLncsODg6IiorCwYMHcfToUezevRsrV67E9OnT4efnByD/a5WsgBWQ/3VJnvaSpz7FoST6TVGVVl8vjutf7kBuo0aNUKtWLfzyyy9YtmyZuNzLywvnz5/HhAkTUKNGDejo6CAzMxOtWrWS6zNF3mtmUZw9exY//vgjGjdujJUrV8Lc3ByqqqrYuHGjzAmZS7qv2NvbA8jKyy+PrVu3ok+fPujQoQMmTJgAExMTKCsrY86cOVKTspqYmCA8PBzBwcE4cuQIjhw5go0bN8Lb21ucDLw4+kJ+iuM7hbz7Why8vb2xc+dOnD9/Hs7Ozti/fz+GDRsm3pQvTOXKlcVzol27dlBWVsbkyZPRpEkT8cmZmJgYNGvWDPb29li0aBEsLS2hpqaGw4cPY/HixXKfEyV1zIiKG4P6RERERPTNa9euHdauXYsLFy6gQYMGBZatWLEiMjMzER0dDQcHB3H58+fPkZiYiIoVK352PbJTBOjp6ckVpM0pNDQUr169wp49e9C4cWNxeWxsbJ6y8t6QyN6XqKioPK9FRkbCyMhIapR+Sfn06ROSk5PF321sbJCcnFxoGxW0nxUqVECFChVw9uxZPHjwQEyX0rhxY4wdOxY7d+5ERkaGVFva2NhAEARUqlSpwD+8v+Q4fm3ytiWQ1Tbm5uYIDAzEDz/8gJMnT4qTAOZc340bN9CsWTO5+1lhirqebt26wc/PD7t374apqSnevn0rTuQLZE3gqauri4yMjGI7Pj169MBvv/0GBweHfG/kZI/0VlVVLXS7u3btQpMmTbB+/Xqp5YmJieJEpNm0tbXRrVs3dOvWDWlpaejUqRNmzZqFKVOmQENDA2XKlEFiYmKebeR+qig/RW2vwurzNRgbG0NPT6/IN2uzr3nR0dFSI3zT09MRGxsrdQOruPu6vHUuyjkrr2rVquGnn37CmjVrMH78eFSoUAFv3rxBSEgI/Pz8MH36dLFs9pNIOeW3//JeM4ti9+7d0NDQQHBwMNTV1cXlGzdu/Kz1GRsbQ1NTU+Z+yfrsy61KlSqws7PDvn37sHTp0kJvVOzatQvW1tbYs2ePVLv5+PjkKaumpgZPT094enoiMzMTw4YNw5o1azBt2jTY2tqWSF/IVhzfKYqyr/Io6Dxr1aoVjI2NsW3bNtSrVw8pKSn4+eefP2s7QNYEwH/++Sd+/fVXHD16FABw4MABpKamYv/+/VJPgMhKI1XQOVFSx4youDGnPhERERF98yZOnAhtbW0MGDAAz58/z/N6TEwMli5dCiArHQwALFmyRKpM9mjNtm3bfnY9XFxcYGNjgwULFkgFsbO9fPky3/dmj0bMOfowLS0NK1euzFNWW1tbrkfnzc3NUaNGDWzatEkqKHj79m0cO3ZMbIuSdO/ePURFRUkF07y8vHDhwgUEBwfnKZ+YmIhPnz4BALS0tMRlsri6uuLkyZO4dOmSGNSvUaMGdHV1MXfuXGhqasLFxUUs36lTJygrK8PPzy/PKE9BEPDq1SsAX3YcvzZ52xIAlJSU0KVLFxw4cABbtmzBp0+fpFLvZK/v6dOn+PPPP/Os78OHD3j//n2R65h94yi/45ibg4MDnJ2dERgYiMDAQJibm0sFpZSVldG5c2fs3r1bZgD1c47PgAED4OPjg4ULF+ZbxsTEBO7u7lizZg3i4+ML3K6ysnKePrZz504x53627D6XTU1NDY6OjhAEQUx1YWNjg6SkJNy8eVMsFx8fn2fOhfwUpb3kqc/XoKSkhA4dOuDAgQO4cuVKntfzG6Vdu3ZtGBsbY/Xq1UhLSxOX+/v75+l/xd3X5a1zUc7Zopg4cSLS09PFzzJZnylA3s8+IP9zVN5rZlEoKytDIpFIPWkSFxeHoKCgIq8re30eHh4ICgrCo0ePxOUREREy21gWPz8/vHr1CgMGDJDZ/seOHcPBgwfF7QHS7Xrx4kVcuHBB6j2520ZJSUl8IiY75VBJ9YX86lnU7xTy7qu8tLW18/0cUFFRQY8ePbBjxw74+/vD2dm5SE9c5WZgYIDBgwcjODgY4eHhAGTvT1JSkswbSvnVtSSPGVFx40h9IiIiIvrm2djYICAgAN26dYODgwO8vb1RtWpVpKWl4fz589i5cyf69OkDICtnd+/evbF27Vrx8fRLly5h06ZN6NChA5o0afLZ9VBSUsK6devQunVrODk5oW/fvrCwsMDTp09x6tQp6OnpibnTc2vYsCHKlCmD3r17Y+TIkZBIJNiyZYvM4JWLiwsCAwMxduxY1KlTBzo6OvD09JS53vnz56N169Zo0KAB+vfvjw8fPmD58uXQ19eHr6/vZ++rLJ8+fcLWrVsBZD2iHhcXh9WrVyMzM1NqZN+ECROwf/9+tGvXDn369IGLiwvev3+PW7duYdeuXYiLi4ORkRE0NTXh6OiIwMBAVKlSBYaGhqhataqYs9rV1RXbtm2DRCIR0/EoKyujYcOGCA4Ohru7u9RkmTY2Nvjtt98wZcoUxMXFoUOHDtDV1UVsbCz27t2LQYMGYfz48V90HL82edsyW7du3bB8+XL4+PjA2dlZ6mkVAPj555+xY8cODBkyBKdOnUKjRo2QkZGByMhI7NixA8HBwTInAS1I9o2VqVOnonv37lBVVYWnp2eBT4l069YN06dPh4aGBvr3758nBcPcuXNx6tQp1KtXDwMHDoSjoyNev36Na9eu4cSJE3j9+nWR6lixYkW5zocVK1bghx9+gLOzMwYOHAhra2s8f/4cFy5cwJMnT3Djxg0AWU8PzZgxA3379kXDhg1x69YtbNu2LU9e95YtW8LMzAyNGjWCqakpIiIi8Mcff6Bt27bixJ3du3fHpEmT0LFjR4wcORIpKSlYtWoVqlSpIvdklfK2lzz1AbJGsbq5uSE0NFSu7X+O2bNn49ixY3Bzc8OgQYPg4OCA+Ph47Ny5E2FhYTAwMMjzHlVVVfz2228YPHgwmjZtim7duiE2NhYbN27M0/Yl0dflqXNRz1l5OTo6ok2bNli3bh2mTZuGsmXLonHjxvj999+Rnp4OCwsLHDt2TOZI7fzOUXmvmUDWyPAmTZrAx8enwHOpbdu2WLRoEVq1aoWePXvixYsXWLFiBWxtbaVuXBWFn58fjh49CldXVwwbNgyfPn3C8uXL4eTkJNc6u3Xrhlu3bmHWrFm4fv06evTogYoVK+LVq1c4evQoQkJCxNRA7dq1w549e9CxY0e0bdsWsbGxWL16NRwdHaVuAg8YMACvX79G06ZNUb58eTx8+BDLly9HjRo1xOtuSfUFoHi+U8i7r/JycXHBqlWr8Ntvv8HW1hYmJiZST9R4e3tj2bJlOHXqFObNm/dZ+53TqFGjsGTJEsydOxfbt29Hy5YtxacnBg8ejOTkZPz5558wMTHJc6M2v7qW5DEjKnYCEREREZGCuHfvnjBw4EDByspKUFNTE3R1dYVGjRoJy5cvFz5+/CiWS09PF/z8/IRKlSoJqqqqgqWlpTBlyhSpMoIgCBUrVhTatm2bZzunTp0SAAg7d+6UWY/r168LnTp1EsqWLSuoq6sLFStWFLy8vISQkBCxzMaNGwUAQmxsrLjs3LlzQv369QVNTU2hXLlywsSJE4Xg4GABgHDq1CmxXHJystCzZ0/BwMBAACBUrFhREARBiI2NFQAIGzdulKrPiRMnhEaNGgmampqCnp6e4OnpKdy9e1eqjI+PjwBAePnypdRyWfWUpXfv3gIAqR89PT2hWbNmwokTJ/KUf/funTBlyhTB1tZWUFNTE4yMjISGDRsKCxYsENLS0sRy58+fF1xcXAQ1NTUBgODj4yO+dufOHQGA4ODgILXu3377TQAgTJs2TWZdd+/eLfzwww+Ctra2oK2tLdjb2wvDhw8XoqKipMrJcxyLo920tbULLCMI+fdFQZC/LQVBEDIzMwVLS0sBgPDbb7/JXF9aWpowb948wcnJSVBXVxfKlCkjuLi4CH5+fkJSUpJYDoAwfPhwmXXt3bu31LKZM2cKFhYWgpKSklS7yCorCIIQHR0t9qOwsDCZ9Xz+/LkwfPhwwdLSUlBVVRXMzMyEZs2aCWvXrpVZPncd82vPbNnH8PLly1LLY2JiBG9vb8HMzExQVVUVLCwshHbt2gm7du0Sy3z8+FEYN26cYG5uLmhqagqNGjUSLly4ILi5uQlubm5iuTVr1giNGzcW+5iNjY0wYcIEqXYWBEE4duyYULVqVUFNTU2ws7MTtm7dKva9nPI7JvK2lzz1effunQBA6N69e4HtJwiC4ObmJjg5OclVR1l94eHDh4K3t7dgbGwsqKurC9bW1sLw4cOF1NRUQRD+vRbnvD4KgiCsXLlSqFSpkqCuri7Url1bOHPmTJ62F4SS6euF1VkQinbO5iarTbOFhoZKXSefPHkidOzYUTAwMBD09fWFrl27Cv/880+ea6kg5H+OCoJ818wDBw4IAITVq1cXWH9BEIT169cLlStXFtTV1QV7e3th48aNRerPstr99OnT4meFtbW1sHr1apnrLEhISIjQvn17wcTERFBRURGMjY0FT09PYd++fWKZzMxMYfbs2ULFihUFdXV1oWbNmsLBgweF3r17i5/FgiAIu3btElq2bCmYmJgIampqQoUKFYTBgwcL8fHxUtssqb4gCF/+nULefRUEIU+fkvUZ+OzZM6Ft27aCrq6uACDP+SgIguDk5CQoKSkJT548KXDfs2V/75k/f77M1/v06SMoKysL9+/fFwRBEPbv3y9Uq1ZN0NDQEKysrIR58+YJGzZsKFJdv+SYEX1NEkH4ijPVEBEREREREdE36/Dhw2jXrh1u3LgBZ2fn0q4OfSMmTpyIv/76C/fv35fKlU9UFDVr1oShoSFCQkJKuypECo859YmIiIiIiIgIQNakkt27d2dAn6ScOnUK06ZNY0CfPtuVK1cQHh4Ob2/v0q4K0XeBI/WJiIiIiIiIiIio2N2+fRtXr17FwoULkZCQgAcPHkBDQ6O0q0Wk8DhSn4iIiIiIiIiIiIrdrl270LdvX6Snp+Ovv/5iQJ+omDCoT0RERERERERERMXO19cXmZmZiIiIgJubW2lXh0guZ86cgaenJ8qVKweJRIKgoKBC3xMaGopatWpBXV0dtra28Pf3L9E6MqhPRERERERERERERATg/fv3qF69OlasWCFX+djYWLRt2xZNmjRBeHg4Ro8ejQEDBiA4OLjE6sic+kREREREREREREREuUgkEuzduxcdOnTIt8ykSZNw6NAh3L59W1zWvXt3JCYm4ujRoyVSL47UJyIiIiIiIiIiIqLvUmpqKt6+fSv1k5qaWmzrv3DhApo3by61zMPDAxcuXCi2beSmUmJrJiIiIiKFd0jVrrSrQN+ZNycjS7sK9J3RUOPD51S8utTj+EcqPimbZpR2Feg7o9V7emlX4bOV1t8Wl6f2gJ+fn9QyHx8f+Pr6Fsv6nz17BlNTU6llpqamePv2LT58+ABNTc1i2U5ODOoTERERERERERER0XdpypQpGDt2rNQydXX1UqpN8WBQn4iIiIiIiIiIiIi+S+rq6iUaxDczM8Pz58+llj1//hx6enolMkofYE59IiIiIiIiIiIiIqLP0qBBA4SEhEgtO378OBo0aFBi22RQn4iIiIiIiIiIiIgIQHJyMsLDwxEeHg4AiI2NRXh4OB49egQgK52Pt7e3WH7IkCF48OABJk6ciMjISKxcuRI7duzAmDFjSqyOTL9DRERERERERERERCVKoiop7SrI5cqVK2jSpIn4e3Y+/t69e8Pf3x/x8fFigB8AKlWqhEOHDmHMmDFYunQpypcvj3Xr1sHDw6PE6sigPhERERERERERERERAHd3dwiCkO/r/v7+Mt9z/fr1EqyVNAb1iYiIiIiIiIiIiKhEKakoxkh9RcCc+kRERERERERERERECoJBfSIiIiIiIiIiIiIiBcGgPhERERERERERERGRgmBQn4iIiIiIiIiIiIhIQXCiXCIiIiIiIiIiIiIqURJVji8vLmxJIiIiIiIiIiIiIiIFwZH6RERERERERERERFSilFQkpV2F7wZH6hMRERERERERERERKQgG9YmIiIiIiIiIiIiIFASD+kRERERERERERERECoJBfSIiIiIiIiIiIiIiBcGJcomIiIiIiIiIiIioRElUOVFuceFIfSIiIiIiIiIiIiIiBcGgPhERERERERERERGRgmD6HSIiIiIiIiIiIiIqUUoqTL9TXDhSn4iIiIiIiIiIiIhIQTCoT0RERERERERERESkIBjUJyIiIiIiIiIiIiJSEMypT0REREREREREREQlSqLKnPrFhSP1iYiIiIiIiIiIiIgUBIP6REREREREREREREQKgul3iIiIiIiIiIiIiKhEKakw/U5x4Uh9IiIiIiIiIiIiIiIFwaA+EREREREREREREZGCYFCfiIiIiIiIiIiIiEhBMKhPRERERERERERERKQgOFEuEREREREREREREZUoiTInyi0uHKlPRERERERERERERKQgOFKfiIiIiIiIiIiIiEqUEkfqFxuO1CciIiIiIiIiIiIiUhAM6hMRERERERERERERKQgG9YmIiIiIiIiIiIiIFASD+kRERERERERERERECoIT5RIRERERERERERFRiZIocaLc4sKR+kRERERERERERERECoIj9YmIiIiIiIiIiIioREmUOb68uLAliYiIiIiIiIiIiIgUBIP6REREREREREREREQKgul3iIiIiIiIiIiIiKhEKSlzotziwpH6REREREREREREREQKgkF9IiIiIiIiIiIiIiIFwaA+EREREREREREREZGCYE59IiIiIiIiIiIiIipREiXm1C8uHKlPRERERERERERERKQgGNQnIiIiIiIiIiIiIlIQTL9DRERERERERERERCVKSZnpd4oLR+oTERERERERERERESkIBvWJ/sMiIyNRv359aGhooEaNGjLLuLu7Y/To0V+1XkXl7+8PAwMDuctbWVlhyZIlBZaRSCQICgr6onopsj59+qBDhw75vl7UNi8KRWv7xo0bIyAg4Ktv99mzZ2jRogW0tbVL7FjkJy4uDhKJBOHh4V91u4pAnuvL11xPTt27d8fChQuLdZ1ERERERET09TH9DlEJc3d3R40aNfIEZ/z9/TF69GgkJiaWSr0AwMfHB9ra2oiKioKOjo7MMnv27IGqqupXrln+rKysMHr0aKkbDd26dUObNm3kXsfly5ehra1dArWTlt+xLyl9+vRBYmKiQgXES4uvry+CgoK+OCi9f/9+PH/+HN27dxeXjR07Fv7+/tDW1sbcuXPRq1cv8bWdO3di8+bNOHDgwBdtFwAWL16M+Ph4hIeHQ19f/4vX961wd3fH6dOnpZYNHjwYq1evLqUalaz8PgtK4jr166+/onHjxhgwYMB31WdKm+EPtWE9rj/0a1WFRjkTXOk8DM/3h5R2tegbJAgCTu9bjutnd+JjyltY2tZC6598UNbUKt/3XDn1F66G/oXEV08BAMblbNHYczhsnRsDABITnmD55OYy39t5yBI41m5V7PtB3w5BEBCyZzkuh+7Ex5R3qFi5Jn7s4wMjM6t833Mx5C9cPLkdiS+z+pSJhS2adBgGu+pZfSolOREhe/7A/dvnkPgqHtq6hnB0aYbmnUdCQ0v3a+wWEX0nAq9EYdPFCLxK/oAqpmUwqWVtVC1nVOj7jt6Jw5R95+BepTwWd3GTeu1BQhKWnrqOa49e4FNmJqyN9LGgU2OY65f83/dE3xoG9Yn+w2JiYtC2bVtUrFgx3zKGhoZfsUafR1NTE5qamnKXNzY2LsHaFI0gCMjIyICKCi/HimjZsmXo27cvlJSyHnw7cOAAAgICcOzYMURHR6Nfv37w8PCAkZERkpKSMHXqVJw4caJYth0TEwMXFxdUrly5WNb3taWlpUFNTU3mawMHDsSMGTPE37W0tL5Wtb4ZJXGdqlq1KmxsbLB161YMHz682Nf/X6WsrYW3N6Pw2H83au9aUdrVoW/Y+aPrcClkC9r3mwsDo/II3bcUAYsHYOjMQ1BRVZf5Hr0ypmjaeRwMTSsCgoAb54MQ+MdwDJy+ByYWlaFnaI4xC89KvefamR24cHQ9bKu6fo3dolJ09tA6XDi+FZ0HzoGhcXkc370M/vMHYtScg1BVy6dPGZrBw2ssyv5/n7oWtg/blozA8Jm7YVq+Mt4lvsC7xBdo1WMiTMrZIPHVP9i30RdvE1+g5/+WfuU9JCJFFXw3DgtDrmFqq7qoWs4IAZcjMWz7KQQN9oShtka+7/snMRmLT15DTcu834Ufv3mHfluOoUN1Gwx1rQZtdVXEvEyCuopySe4K0TeL6XeIvhGhoaGoW7eumEqjUaNGePjwofj6vn37UKtWLWhoaMDa2hp+fn749OlTvuvLzMzEjBkzUL58eairq6NGjRo4evSo+LpEIsHVq1cxY8YMSCQS+Pr6ylxP7vQ7VlZWmD17Nvr16wddXV1UqFABa9euFV9PS0vDiBEjYG5uDg0NDVSsWBFz5swRX09MTMSAAQNgbGwMPT09NG3aFDdu3JDa5oEDB1CnTh1oaGjAyMgIHTt2FOvy8OFDjBkzBhKJBBJJ1gQrslLB5LeO7H3IOXo+OjoajRs3hoaGBhwdHXH8+PE87fD48WN4eXnBwMAAhoaGaN++PeLi4mS2GZA1av706dNYunSpWNe4uDiEhoZCIpHgyJEjcHFxgbq6OsLCwpCZmYk5c+agUqVK0NTURPXq1bFr1y5xfRkZGejfv7/4up2dHZYu/fcPK19fX2zatAn79u0TtxcaGipX3TMyMjB27FgYGBigbNmymDhxIgRByHffcgoKCkLlypWhoaEBDw8PPH78WOr1wvqtPG2fm7u7O0aOHImJEyfC0NAQZmZmefpvQf3M398ffn5+uHHjhthW/v7+EAQBvr6+qFChAtTV1VGuXDmMHDky33q8fPkSJ0+ehKenp7gsIiIC7u7uqF27Nnr06AE9PT3ExsYCACZOnIihQ4eiQoUKhe4jAKxatQo2NjZQU1ODnZ0dtmzZIr5mZWWF3bt3Y/PmzZBIJOjTp0++bZU7fVaHDh2kyhd2TgPApUuXULNmTWhoaKB27dq4fv16nm3dvn0brVu3ho6ODkxNTfHzzz8jISFBqi4jRozA6NGjYWRkBA8Pj3z3XUtLC2ZmZuKPnp5eAS2VtQ8zZ85Ejx49oK2tDQsLC6xYIR1cffToEdq3bw8dHR3o6enBy8sLz58/F1/39fVFjRo1sGbNGlhaWkJLSwteXl5ISkoqUnvmtmjRIjg7O0NbWxuWlpYYNmwYkpOTAWRd9/v27YukpCSxL2b35dzXKXnrv2XLFlhZWUFfXx/du3fHu3fvpOrj6emJ7du3F9ieVDQvg8/gns8SPN9XPDfs6PskCAIundgM13ZDYFezGUwt7dC+3zy8S3yByOv5950qNZqicjU3lDW1QlmzSmjaaQzU1LXw9EHWZ5qSkjJ09I2lfiKvnYBjndZQ0+Coxe+ZIAg4F7wZ7j8OgaNLM5hVsEPXwXPxLvEFIq7l36ccajaBXXU3GJlZwci8Elp2HQ01DS08jsnqU6blq6DnyGVwqNkEZU0rwMaxPlp0HY3I66eQkZH/3x5ERDltvRSJTjVs0b66DWyM9TG1dV1oqCgj6EZMvu/JyMzEL/vPYYhrNZQ3yPtk0B+hN/CDTTmMbloL9maGsCyjC/cq5Qu8SUDfHomypFR+vkcM6hN9Az59+oQOHTrAzc0NN2/exIULFzBo0CAxaH327Fl4e3tj1KhRuHv3LtasWQN/f3/MmjUr33UuXboUCxcuxIIFC3Dz5k14eHjgxx9/RHR0NAAgPj4eTk5OGDduHOLj4zF+/Hi567tw4UIxsDds2DAMHToUUVFRALJGLu/fvx87duxAVFQUtm3bBisrK/G9Xbt2xYsXL3DkyBFcvXoVtWrVQrNmzfD69WsAwKFDh9CxY0e0adMG169fR0hICOrWrQsgKxVQ+fLlMWPGDMTHxyM+Pl5m/QpaR26ZmZno1KkT1NTUcPHiRaxevRqTJk2SKpOeng4PDw/o6uri7NmzOHfuHHR0dNCqVSukpaXl2/4NGjTAwIEDxbpaWlqKr0+ePBlz585FREQEqlWrhjlz5mDz5s1YvXo17ty5gzFjxuCnn34S05BkZmaifPny2LlzJ+7evYvp06fjl19+wY4dOwAA48ePh5eXF1q1aiVur2HDhnLVfeHChfD398eGDRsQFhaG169fY+/evQX2AQBISUnBrFmzsHnzZpw7dw6JiYlSaWgK67fytH1+Nm3aBG1tbVy8eBG///47ZsyYIXVDoKB+1q1bN4wbNw5OTk5iW3Xr1g27d+/G4sWLsWbNGkRHRyMoKAjOzs751iEsLAxaWlpwcHAQl1WvXh1XrlzBmzdvcPXqVXz48AG2trYICwvDtWvXCrxJkNPevXsxatQojBs3Drdv38bgwYPRt29fnDp1CkBWapZWrVrBy8sL8fHxUjd4PkdB53RycjLatWsHR0dHXL16Fb6+vnmuF4mJiWjatClq1qyJK1eu4OjRo3j+/Dm8vLykym3atAlqamo4d+5cgel0tm3bBiMjI1StWhVTpkxBSkpKofswf/58VK9eHdevX8fkyZMxatQosU9kZmaiffv2eP36NU6fPo3jx4/jwYMH6Natm9Q67t+/jx07duDAgQM4evSo2B5fQklJCcuWLcOdO3ewadMmnDx5EhMnTgQANGzYEEuWLIGenp7YF2Vdi+Wtf0xMDIKCgnDw4EEcPHgQp0+fxty5c6XK1K1bF5cuXUJqauoX7RcRFU1iwhMkJ71EJYeG4jINLV1YWFfD05hwudaRmZmB25cOIT0tBeVtasgsEx93G88fR6DGD52Lodb0LXvz8gmSkxJg49RAXKahpYvy1tXw6P6NAt75r8zMDNz8+xDSUlNQwbZGvuU+pryDuqYOlJX5ZCkRFS49IwMR8a9Rz8pMXKYkkaBeJTPcfJqQ7/vWht2GoZYGOtawzfNapiAgLOYpKhjqYdhfJ9F0yS787H8Up6Iey1gT0X8DP5WJvgFv375FUlIS2rVrBxsbGwCQChT6+flh8uTJ6N27NwDA2toaM2fOxMSJE+Hj4yNznQsWLMCkSZPEIOu8efNw6tQpLFmyBCtWrICZmRlUVFSgo6MDMzMzmevIT5s2bcRA16RJk7B48WKcOnUKdnZ2ePToESpXrowffvgBEolEKrVPWFgYLl26hBcvXkBdXV2sZ1BQEHbt2oVBgwZh1qxZ6N69O/z8/MT3Va9eHUBWKiBlZWXo6uoWWOeC1pHbiRMnEBkZieDgYJQrVw4AMHv2bLRu3VosExgYiMzMTKxbt0680bJx40YYGBggNDQULVu2zLNefX19qKmpiSOOc5sxYwZatGgBAEhNTcXs2bNx4sQJNGiQ9YeZtbU1wsLCsGbNGri5uUFVVVVqfypVqoQLFy5gx44d8PLygo6ODjQ1NZGamiq1va1btxZa9yVLlmDKlCno1KkTAGD16tUIDg7Ot32zpaen448//kC9evUAZAVsHRwccOnSJdStW7fQfitP2+enWrVqYt+vXLky/vjjD4SEhKBFixZy9TMdHR2oqKhItdWjR49gZmaG5s2bQ1VVFRUqVMj3ZhAAPHz4EKampmLqHQDw8PDATz/9hDp16kBTU1O8+TB06FD4+/tj1apVWL58OYyMjLB27Vo4OTnJXPeCBQvQp08f8TwbO3Ys/v77byxYsABNmjSBsbEx1NXVoampWeTzV5aCzumAgABkZmZi/fr10NDQgJOTE548eYKhQ4eK7//jjz9Qs2ZNzJ49W1y2YcMGWFpa4t69e6hSpQqArGP1+++/F1iXnj17omLFiihXrhxu3ryJSZMmISoqCnv27CnwfY0aNcLkyZMBAFWqVMG5c+ewePFitGjRAiEhIbh16xZiY2PFm2ubN2+Gk5MTLl++jDp16gAAPn78iM2bN8PCwgIAsHz5crRt2xYLFy787HbO/aTTb7/9hiFDhmDlypVQU1ODvr4+JBJJgeuXt/6ZmZnw9/eHrm7WyKaff/4ZISEhUjeAy5Urh7S0NDx79kxm6rXU1NQ8Af90IROqEo4DIfoSyUkvAQDaemWllmvrGSE5Kf8ABwA8fxKFjXN64FN6KtTUtdB12B8wLpc34AEA18N2w8jcBpa2tYqn4vTNevf//UZHX7pP6egbITnxZYHvffb4HtbM+P8+paGFXqOWw8RCdp96/+4NQvetQh13L5mvExHl9iYlFRmCkGcEfVltDcS9eivzPdcfv0DQjfvY3l/2XHmv339EStonbLxwB8PdqmNU0xo4FxOPcbvPYG2v5qhd0bTY94NKhkSJf1cUF7Yk0TfA0NAQffr0gYeHBzw9PbF06VKpUeg3btzAjBkzoKOjI/5kjwCXNYL17du3+Oeff9CoUSOp5Y0aNUJERMQX17datWriv7ODUS9evACQlXYmPDwcdnZ2GDlyJI4dOya1H8nJyShbtqzUvsTGxiImJusxvPDwcDRr1uyL6leUdURERMDS0lIMKgMQA+s5633//n3o6uqKdTY0NMTHjx8RExODs2fPSu3Ptm3bCt1u7dq1xX/fv38fKSkpaNGihdR6Nm/eLLYLAKxYsQIuLi4wNjaGjo4O1q5di0ePHhW4ncLqnpSUhPj4eDEwDwAqKipS9cuPioqKGEwEAHt7exgYGIh9rLB+K0/b5ydnHwQAc3NzsQ/K089k6dq1Kz58+ABra2sMHDgQe/fuLTDF1YcPH6ChkfdRT19fX9y/fx+3bt1Cx44dMWfOHPFGwW+//YawsDAMGDAA3t7e+a47IiKixM5fWQo6p7OfJsm5r7LOkVOnTkm1t729PQBItbmLi4v479mzZ0uVz+7LgwYNgoeHB5ydndGrVy9s3rwZe/fuLfDYyapTgwYNxPbK7ms5n5ZxdHSU6q8AUKFCBTGgn72OzMxM8amFz3HixAk0a9YMFhYW0NXVxc8//4xXr17J9fRBNnnrb2VlJQb0AenzIlv2/CP5bX/OnDnQ19eX+tmR+VruuhJRllt/H8Dc4bXEn8wvSFtiZFYJg6bvRf9fAuHi3h37N0zGy3/u5ymXnvYRty8e5Cj971T4+QPwG+gi/mRmpH/2uozMrTDitz0Y4hOIuk27Y9faKXjxNG+f+vghGZsXDoGxhS2adeRcLERUMt6npuPX/ecxrU09lNGSnUon8//Tw7pXLo+f6jrAztQQ/Ro6wbWyBXZdj/6a1SX6ZnCkPlEJ09PTk8rJnC0xMRH6+vri7xs3bsTIkSNx9OhRBAYG4tdff8Xx48dRv359JCcnw8/PTxxJnZOsoGJJU1VVlfpdIpEgMzMTAFCrVi3ExsbiyJEjOHHiBLy8vNC8eXPs2rULycnJMDc3F3O955SdE78oE97mpzjWkVNycjJcXFxkBuuNjY2hpqaG8PBwcZmpaeGjBLS1/81zm51f+9ChQ1IBRQDiSPPt27dj/PjxWLhwIRo0aABdXV3Mnz8fFy9e/KK6l6SS7LcF9UF5+pkslpaWiIqKwokTJ3D8+HEMGzYM8+fPx+nTp/NsDwCMjIzw5s2bAusZGRmJrVu34vr169iwYQMaN24MY2NjeHl5oV+/fnj37p1UELa4KSkp5ZkfIT09bxCgoPaUR3JyMjw9PTFv3rw8r5mbm4v/ztnvhwwZIpWeJ+fNnZyybzjdv39ffJKptMjbntni4uLQrl07DB06FLNmzYKhoSHCwsLQv39/pKWlFfsEwPIcx+xUZ/md/1OmTMHYsWOllp00dJFZlojyV6VGE1hU+veG6adPWSnv3r99BV0DE3H5+7cJMLN0yPP+nJRV1LImygVgblUV8XG3cenEZrT1niFVLuJqMNLTPqJaww7FtBf0LXGo2RSWNjn6VHpWn0pOegW9HH0qOSkB5hUL7lMqKmpZE+UCsKjkhKcPbuH8sS3o0Pffp0JTP7zHpvkDoa6hhV4jl0NZJe93ISIiWcpoqUNZIsHr9x+llr96/xFltfP+rf4k8R3+SXqP0TtOi8uyg/i15wRg7xBPmOlpQUVJAmsjfan3WpfVx/Un0oNYiP4rGNQnKmF2dnZSo9WzXbt2TUxJka1mzZqoWbMmpkyZggYNGiAgIAD169dHrVq1EBUVBVtb2Y/F5qanp4dy5crh3LlzcHNzE5efO3euwHQixUVPTw/dunVDt27d0KVLF7Rq1QqvX79GrVq18OzZM6ioqEjl2c+pWrVqCAkJQd++fWW+rqamhoyMjAK3X9g6cnJwcMDjx48RHx8vBh///vtvqTK1atVCYGAgTExM8p2wU9axkaeuQNaIW3V1dTx69EjqeOV07tw5NGzYUCq/d+6Ry7K2J0/dzc3NcfHiRTRu3BhA1hwP2XnoC/Lp0ydcuXJF7FNRUVFITEwUU0cV1m/lafvPIU8/y+/YaGpqwtPTE56enhg+fDjs7e1x69YtmW1Rs2ZNPHv2DG/evEGZMmXyvC4IAgYPHoxFixZBR0cHGRkZYgA4+//59Q8HBwecO3dOTF0EZPUBR0fHQvc/J2NjY6mnfjIyMnD79m00adJE7nU4ODhgy5Yt+Pjxo3gzRtY5snv3blhZWUFFRb6vFoaGhjA0NCy0XPYNs5w3B2TJXae///5b7IvZfe3x48fiaPe7d+8iMTFRqk0fPXqEf/75R7zB8Pfff0NJSQl2dnYAit6eV69eRWZmJhYuXCimacqeByObPNcJeesvj9u3b6N8+fIwMjKS+bq6urp4MzEbU+8QFZ26hg7UNXTE3wVBgI6+MWIjLsCsQta1KfVDMp4+uAkX9x5FWrcgZIo3CXIKP7sLVWo0gbZu4ddWUjzqmtpQ1/z35nhWnzLCg7t/o9z/B/E/fkjGkwc3Ua9Z9/xWI5MgCOJNguz1+P8+ACqqavhpzEqoqqkX8G4iImmqyspwMDfExbhnaGKX9d01UxBwKe4ZurnY5SlvVVYfOwe0lVq24swNpKSmY0KL2jDT04KqsjIczcvi4Wvp9D0PX7+FuR4nhqf/Jv6VRlTChg4dinv37mHkyJG4efMmoqKisGjRIvz1118YN24cACA2NhZTpkzBhQsX8PDhQxw7dgzR0dFiQGr69OnYvHkz/Pz8cOfOHURERGD79u349ddf893uhAkTMG/ePAQGBiIqKgqTJ09GeHg4Ro0aVaL7m71vkZGRuHfvHnbu3AkzMzMYGBigefPmaNCgATp06IBjx44hLi4O58+fx9SpU3HlyhUAgI+PD/766y/4+PggIiICt27dkhr9a2VlhTNnzuDp06dISJCdg7awdeTUvHlzVKlSBb1798aNGzdw9uxZTJ06VapMr169YGRkhPbt2+Ps2bOIjY1FaGgoRo4ciSdPnuTbFlZWVrh48SLi4uKQkJCQ78hnXV1djB8/HmPGjMGmTZsQExODa9euYfny5di0aROArFzkV65cQXBwMO7du4dp06bh8uXLebaX3ccSEhKQnp4uV91HjRqFuXPnIigoCJGRkRg2bBgSExPz3a9sqqqq+N///oeLFy/i6tWr6NOnD+rXry8G+Qvrt/K0/eeQp59ZWVkhNjYW4eHhSEhIQGpqKvz9/bF+/Xrcvn0bDx48wNatW6GpqSkz7ziQFdQ3MjLCuXPnZL6+bt06GBsbw9PTE0BW+pyTJ0/i77//xuLFi8X0KbJMmDBBzMEfHR2NRYsWYc+ePUWa0BoAmjZtikOHDuHQoUOIjIzE0KFD5Tq2OfXs2RMSiQQDBw7E3bt3cfjwYSxYsECqzPDhw/H69Wv06NEDly9fRkxMDIKDg9G3b1+5bmxli4mJwcyZM3H16lXExcVh//798Pb2RuPGjfOkXMrt3Llz+P3333Hv3j2sWLECO3fuFK93zZs3F9P5XLt2DZcuXYK3tzfc3NykUk1paGhI9ceRI0fCy8tLzHdf1Pa0tbVFeno6li9fjgcPHmDLli15Jgi2srJCcnIyQkJCkJCQIDMtjrz1l8fZs2dlzgNCn09ZWwt61e2hVz0r5ZRWpfLQq24PDcuCb0TRf4tEIkHd5t4IO7QaUeEn8fxJFILWT4KugQnsazYXy21Z0AeXT24Vfw/ZvRAP711GYsITPH8ShZDdCxEXdQnO9Tyl1v/6+UM8jL6Cmq5dv9o+UemSSCRo5OGNU/tWI+LaSTx7fA+71kyGroEJHGr926fWz+2LC8f/fWIzeMcixEZexpuXT/Hs8b3///0SajRsByA7oN8faWkf0LH/b0j9kIx3iS/xLvElMjPl/0wnov+2n+raY2/4fey/+QAPEpIw+8glfEjPQPtq1gCAX/efx7JT1wEA6irKsDUxkPrRVVeDlroqbE0MoKqsDADoXd8RwXcfYc/1+3j0+h22X4nCmein8HKpkm89iL5nHKlPVMKsra1x5swZTJ06Fc2bN0daWhrs7e2xc+dOtGrVCgCgpaWFyMhIbNq0Ca9evYK5uTmGDx+OwYMHA8iafPPgwYOYMWMG5s2bB1VVVdjb22PAgAH5bnfkyJFISkrCuHHj8OLFCzg6OmL//v2oXLlyie6vrq4ufv/9d0RHR0NZWRl16tTB4cOHxVGqhw8fxtSpU9G3b1+8fPkSZmZmaNy4sZiyxt3dHTt37sTMmTMxd+5c6OnpiSPIgawJZgcPHgwbGxukpqbmSYUhzzpyUlJSwt69e9G/f3/UrVsXVlZWWLZsmXhsgKzjc+bMGUyaNAmdOnXCu3fvYGFhgWbNmuU7+h0Axo8fj969e8PR0REfPnxAbGxsvmVnzpwJY2NjzJkzBw8ePICBgQFq1aqFX375BQAwePBgXL9+Hd26dYNEIkGPHj0wbNgwHDlyRFzHwIEDERoaitq1ayM5ORmnTp2Cu7t7oXUfN24c4uPj0bt3bygpKaFfv37o2LGjzLRROWlpaWHSpEno2bMnnj59CldXV6xfv158vbB+K0/bfw6JRFJoP+vcuTP27NmDJk2aIDExUZw8eO7cuRg7diwyMjLg7OyMAwcOoGzZsjK3o6ysjL59+2Lbtm1o166d1GvPnz/HrFmzcP78eXFZ3bp1MW7cOLRt2xYmJibiDRtZOnTogKVLl2LBggUYNWoUKlWqhI0bN8Ld3b1IbdGvXz/cuHED3t7eUFFRwZgxY4o0Sh8AdHR0cODAAQwZMgQ1a9aEo6Mj5s2bh86d/83ZnP1k0KRJk9CyZUukpqaiYsWKaNWqldREwoVRU1PDiRMnsGTJErx//x6Wlpbo3LlzgTcws40bNw5XrlyBn58f9PT0sGjRInh4eADI6hP79u3D//73PzRu3BhKSkpo1aoVli9fLrUOW1tbdOrUCW3atMHr16/Rrl07rFy5Uny9qO1ZvXp1LFq0CPPmzcOUKVPQuHFjzJkzR2o+hYYNG2LIkCHo1q0bXr16BR8fH/j6+kqtR976F+bjx48ICgrC0aNHi/Q+Kpi+S1U0CNki/u64IOu6/XjzHtzsP6W0qkXfoIatBiA99QMObZ6OjylvUaGyC3qO/hMqqv+Ogn7z8hFS3v2b2i3l3WvsWz8JyUkvoa6pC9Pydug1eh2snaTnXQk/txt6Zcxg4yi9nL5vrm0HIC31A4I2+uBjyltUrFwLfcavlRpZ//qFdJ96//YVdq2djHeJL6GhqQszyyroM+FP2FbN6jv/xN3F45ibAIBFEzyktjd+4QmUMZZOFUlEJIuHoxXepKRi1ZkbePX+I+xMy2BFtyYoq5OVfufZ2/dQkkiKtM6mdpaY2rouNpy/g9+PX0FFQz3M7+yKmpYmhb+ZvhkSpaIdd8qfRJAVESMiIqJCPXv2DE5OTrh27Vq+I/qp5FlZWWH06NEYPXr0Z6/D19cXQUFBUvNjfG9WrVqFvXv3ykwJV5BDqnkfkyb6Em9ORpZ2Feg7o6HGP2mpeHWpx6QGVHxSNs0ovBBREWj1nl7aVfhs15r9UCrbrRUSVirbLUkcqU9ERPSZzMzMsH79ejx69IhBffrmqaqqFnl0PxERERERUXFRUuZI/eLCoD4REdEX6NChQ2lXgUguBaVsIyIiIiIiIsXBoD4REREptLi4uC9eh6+vb55c9kRERERERETfIiaKIyIiIiIiIiIiIiJSEAzqExEREREREREREREpCKbfISIiIiIiIiIiIqISJVHiRLnFhSP1iYiIiIiIiIiIiIgUBEfqExEREREREREREVGJkihxfHlxYUsSERERERERERERESkIBvWJiIiIiIiIiIiIiBQEg/pERERERERERERERAqCQX0iIiIiIiIiIiIiIgXBiXKJiIiIiIiIiIiIqERJlCSlXYXvBkfqExEREREREREREREpCAb1iYiIiIiIiIiIiIgUBNPvEBEREREREREREVGJUlJm+p3iwpH6REREREREREREREQKgiP1iYiIiIiIiIiIiKhEcaLc4sOR+kRERERERERERERECoJBfSIiIiIiIiIiIiKi/7dixQpYWVlBQ0MD9erVw6VLlwosv2TJEtjZ2UFTUxOWlpYYM2YMPn78WGL1Y1CfiIiIiIiIiIiIiAhAYGAgxo4dCx8fH1y7dg3Vq1eHh4cHXrx4IbN8QEAAJk+eDB8fH0RERGD9+vUIDAzEL7/8UmJ1ZFCfiIiIiIiIiIiIiAjAokWLMHDgQPTt2xeOjo5YvXo1tLS0sGHDBpnlz58/j0aNGqFnz56wsrJCy5Yt0aNHj0JH938JBvWJiIiIiIiIiIiIqERJlJRK5Sc1NRVv376V+klNTZVZx7S0NFy9ehXNmzcXlykpKaF58+a4cOGCzPc0bNgQV69eFYP4Dx48wOHDh9GmTZvib8TsOpXYmomIiIiIiIiIiIiIStGcOXOgr68v9TNnzhyZZRMSEpCRkQFTU1Op5aampnj27JnM9/Ts2RMzZszADz/8AFVVVdjY2MDd3Z3pd4iIiIiIiIiIiIhIcUmUJKXyM2XKFCQlJUn9TJkypdj2KzQ0FLNnz8bKlStx7do17NmzB4cOHcLMmTOLbRu5qZTYmomIiIiIiIiIiIiISpG6ujrU1dXlKmtkZARlZWU8f/5cavnz589hZmYm8z3Tpk3Dzz//jAEDBgAAnJ2d8f79ewwaNAhTp06FklLxj6vnSH0iIiIiIiIiIiIi+s9TU1ODi4sLQkJCxGWZmZkICQlBgwYNZL4nJSUlT+BeWVkZACAIQonUkyP1iYiIiIiIiIiIiIgAjB07Fr1790bt2rVRt25dLFmyBO/fv0ffvn0BAN7e3rCwsBDz8nt6emLRokWoWbMm6tWrh/v372PatGnw9PQUg/vFjUF9IiIiIiIiIiIiIiIA3bp1w8uXLzF9+nQ8e/YMNWrUwNGjR8XJcx89eiQ1Mv/XX3+FRCLBr7/+iqdPn8LY2Bienp6YNWtWidVRIpTUMwBEREREpPAOqdqVdhXoO/PmZGRpV4G+Mxpq/JOWileXesxUTMUnZdOM0q4CfWe0ek8v7Sp8tqhuHqWyXbvA4FLZbkniJxURERERERERERERkYJgUJ+IiIiIiIiIiIiISEEwpz4RERERERERERERlSiJkqS0q/Dd4Eh9IiIiIiIiIiIiIiIFwaA+EREREREREREREZGCYFCfiIiIiIiIiIiIiEhBMKc+EREREREREREREZUoiRLHlxcXtiQRERERERERERERkYJgUJ+IiIiIiIiIiIiISEEw/Q4RERERERERERERlSglZUlpV+G7wZH6REREREREREREREQKgkF9IiIiIiIiIiIiIiIFwaA+EREREREREREREZGCYFCfiIiIiIiIiIiIiEhBcKJcIiIiIiIiIiIiIipREiVOlFtcOFKfiIiIiIiIiIiIiEhBcKQ+EREREREREREREZUoiRLHlxcXtiQRERERERERERERkYJgUJ+IiIiIiIiIiIiISEEwqE9EREREREREREREpCAY1CciIiIiIiIiIiIiUhCcKJeIiIiIiIiIiIiISpRESVLaVfhucKQ+EREREREREREREZGC4Eh9IiIiIiIiIiIiIipRHKlffDhSn4iIiIiIiIiIiIhIQTCoT0RERERERERERESkIJh+h4iIiIjy9eZkZGlXgb4zZZral3YV6DujfPlWaVeBvjtqpV0B+o4csvu1tKtA35mupV2BLyBR4vjy4sKWJCIiIiIiIiIiIiJSEAzqExEREREREREREREpCAb1iYiIiIiIiIiIiIgUBHPqExEREREREREREVGJkihJSrsK3w2O1CciIiIiIiIiIiIiUhAM6hMRERERERERERERKQim3yEiIiIiIiIiIiKiEiVR4vjy4sKWJCIiIiIiIiIiIiJSEAzqExEREREREREREREpCAb1iYiIiIiIiIiIiIgUBIP6REREREREREREREQKghPlEhEREREREREREVHJkkhKuwbfDY7UJyIiIiIiIiIiIiJSEBypT0REREREREREREQlSqLEkfrFhSP1iYiIiIiIiIiIiIgUBIP6REREREREREREREQKgkF9IiIiIiIiIiIiIiIFwaA+EREREREREREREZGC4ES5RERERERERERERFSiJEocX15c2JJERERERERERERERAqCI/WJiIiIiIiIiIiIqERJlCSlXYXvBkfqExEREREREREREREpCAb1iYiIiIiIiIiIiIgUBIP6REREREREREREREQKgkF9IiIiIiIiIiIiIiIFwYlyiYiIiIiIiIiIiKhESZQ4vry4sCWJiIiIiIiIiIiIiBQER+oTERERERERERERUYmSKElKuwrfDY7UJyIiIiIiIiIiIiJSEAzqExEREREREREREREpCAb1iYiIiIiIiIiIiIgUBIP6REREREREREREREQKghPlEhEREREREREREVGJ4kS5xYcj9YmIiIiIiIiIiIiIFASD+kRERERERERERERECoLpd4iIiIiIiIiIiIioZClxfHlxYUsSERERERERERERESkIjtQnIiIiIiIiIiIiohIlkXCi3OLCkfpERERERERERERERAqCQX0iIiIiIiIiIiIiIgXBoD4RERERERERERERkYJgUJ+IiIiIiIiIiIiISEFwolwiIiIiIiIiIiIiKlESJY4vLy5sSSIiIiIiIiIiIiIiBcGR+kRERERERERERERUoiRKktKuwneDI/WJiIiIiIiIiIiIiBQEg/pERERERERERERERAqCQX0iIiIiIiIiIiIiIgXBoD4RERERERERERERkYLgRLlEREREREREREREVLKUOL68uLAliYiIiIiIiIiIiIgUBIP6REREREREREREREQKgkF9IiIiIiIiIiIiIipREiVJqfx8jhUrVsDKygoaGhqoV68eLl26VGD5xMREDB8+HObm5lBXV0eVKlVw+PDhz9q2PJhTn4iIiIiIiIiIiIgIQGBgIMaOHYvVq1ejXr16WLJkCTw8PBAVFQUTE5M85dPS0tCiRQuYmJhg165dsLCwwMOHD2FgYFBidfyuRupLJBIEBQXl+3poaCgkEgkSExMBAP7+/oU2rq+vL2rUqFFsdSwpcXFxkEgkCA8PL7Ccu7s7Ro8eXeT1+/r6wtTUtNA2/i+Rt81zUvT2y30OKcJ2itrmn3POf612+RKNGzdGQEDAV9/us2fP0KJFC2hra3/2h9l/+dpeVIp+jSkNffr0QYcOHQos87nneGRkJOrXrw8NDY1S728JCQkwMTHBkydPSrUeRERERERE37pFixZh4MCB6Nu3LxwdHbF69WpoaWlhw4YNMstv2LABr1+/RlBQEBo1agQrKyu4ubmhevXqJVZHhRmp/+zZM8yaNQuHDh3C06dPYWJigho1amD06NFo1qyZXOto2LAh4uPjoa+vX8K1/fosLS0RHx8PIyMjAFkBiCZNmuDNmzdffFcoIiICfn5+2Lt3L+rXr48yZcoUQ40VX+42l0d8fLzCtJ+7uztq1KiBJUuWiMsU8RxSpDYvKfv378fz58/RvXt3cdnYsWPh7+8PbW1tzJ07F7169RJf27lzJzZv3owDBw588bYXL16M+Ph4hIeHl1i/UcR+SfKzsrLCw4cPpZbNmTMHkydPLpb1L126FIIgiL/LuvZ9Lh8fH2hrayMqKgo6OjpfvL4vYWRkBG9vb/j4+GD9+vWlWhdFIQgCTu9bjutnd+JjyltY2tZC6598UNbUKt/3XDn1F66G/oXEV08BAMblbNHYczhsnRsDABITnmD55OYy39t5yBI41m5V7PtBisXwh9qwHtcf+rWqQqOcCa50Hobn+0NKu1r0jRIEAUd2rsCFkN348P4dKtnVQNcB02BiXjHf9xzfuw43Lp3Ai39ioaqmgUpVqsOz1xiYlqskllnu1xf3716Rel/D5l3RbeD0EtsXIvo+CYKAkL3LcSV0Jz6mvEOFyjXxY28fGJlZ5fueiyF/4dLJ7UhMyPo+ZWJhiybth6FK9cZimaCNPoi5cwHvEl9ATUMLFWxrwsNrHIzLWZf0LpGCSk1NRWpqqtQydXV1qKur5ymblpaGq1evYsqUKeIyJSUlNG/eHBcuXJC5/v3796NBgwYYPnw49u3bB2NjY/Ts2ROTJk2CsrJy8e7M/1OIoH5cXBwaNWoEAwMDzJ8/H87OzkhPT0dwcDCGDx+OyMhIudajpqYGMzOzYq1bWloa1NTUinWdn0NZWbnY9y1bTEwMAKB9+/aQSD4vD1VxyMjIgEQigZJSwQ+YCIKAjIwMqKiUbPf+nDYvqWP0tZTEOVRSss/Nb6G+8vbdkrJs2TL07dtX3P6BAwcQEBCAY8eOITo6Gv369YOHhweMjIyQlJSEqVOn4sSJE8Wy7ZiYGLi4uKBy5crFsj5Zvudr+9f2re73jBkzMHDgQPF3XV3dYlt3Sd4MiomJQdu2bVGxYv7Bla8h+7j27dsXLi4umD9/PgwNDUu1Torg/NF1uBSyBe37zYWBUXmE7luKgMUDMHTmIaio5v3yDwB6ZUzRtPM4GJpWBAQBN84HIfCP4Rg4fQ9MLCpDz9AcYxaelXrPtTM7cOHoethWdf0au0XfOGVtLby9GYXH/rtRe9eK0q4OfeNC9m/AmSMB6DXsNxiaWODwjj+wevZgTFm4D6pqsq9T9yOuwNWjOyrYVEVmRgYObl+KVbMGY8rCIKhraInlGjTrjDZeI8Tf1dQ0Snx/iOj7c/bwOvx9fCs6D5yDMkblcWLPMmxaMBAjZx/M9zqlb2iGll5jUda0IgAB18P2YdvSERg2YzdMy2f9XWlh5YTqDdrBoGw5fHifiJN7V8B//gCMW3gcSkolE0Cl4iGRlE5cZM6cOfDz85Na5uPjA19f3zxlExISkJGRAVNTU6nlpqam+cagHzx4gJMnT6JXr144fPgw7t+/j2HDhiE9PR0+Pj7Fth85KUT6nWHDhkEikeDSpUvo3LkzqlSpAicnJ4wdOxZ///23VNmEhAR07NgRWlpaqFy5Mvbv3y++Js/j83PnzoWpqSl0dXXRv39/fPz4Uer17Mf0Z82ahXLlysHOzg4A8PjxY3h5ecHAwACGhoZo37494uLi8rxvwYIFMDc3R9myZTF8+HCkp6fLrEdSUhKUlZVx5UrWCInMzEwYGhqifv36YpmtW7fC0tISgHQqmLi4ODRp0gQAUKZMGUgkEvTp00d8X2ZmJiZOnAhDQ0OYmZnJ7MDZfH194enpCSDrrlTOoP66devg4OAADQ0N2NvbY+XKleJrDRs2xKRJk6TW9fLlS6iqquLMmTMAsu6SjR8/HhYWFtDW1ka9evUQGhoqls9OobF//344OjpCXV0djx49ylPH7ON65MgRuLi4QF1dHWFhYcjMzMScOXNQqVIlaGpqonr16ti1a5fUe+/cuYN27dpBT08Purq6cHV1FW9iFLaPOds8MzMT5cuXx6pVq6TWf/36dSgpKYmjTHOmxsh+/549e9CkSRNoaWmhevXqee76/fnnn7C0tISWlhY6duyIRYsWFfr0xaRJk1ClShVoaWnB2toa06ZNk+pr2alHtmzZAisrK+jr66N79+549+4dgKz+evr0aSxduhQSiQQSiQRxcXH5pjk5ePAg7OzsoKWlhS5duiAlJQWbNm2ClZUVypQpg5EjRyIjI0Pc/pYtW1C7dm3o6urCzMwMPXv2xIsXL/Ldn1evXqFHjx6wsLCAlpYWnJ2d8ddff0mVcXd3x4gRIzB69GgYGRnBw8MjT5vL0zbyOHz4MKpUqQJNTU00adJE6lzP2S65+66s9FcdOnSQOj/j4+PRtm1baGpqolKlSggICICVlZU4algQBPj6+qJChQpQV1dHuXLlMHLkyHzr+vLlS5w8eVI8j4Gsp2/c3d1Ru3Zt9OjRA3p6eoiNjQUATJw4EUOHDkWFChXkaotVq1bBxsYGampqsLOzw5YtW8TXrKyssHv3bmzevDnPdSi3DRs2wMnJCerq6jA3N8eIESOkXv9eru0535PT6NGj4e7uLv7u7u6OkSNHFnitjo6ORuPGjaGhoQFHR0ccP348z7bkrX/u/c4tJiYG7du3h6mpKXR0dFCnTp08N34K67tA1sRBAwYMgLGxMfT09NC0aVPcuHEj37bKln2tyP7R1tbOt+z48ePRrl078fclS5ZAIpHg6NGj4jJbW1usW7dOqg2y/y3r2pft6tWrqF27NrS0tNCwYUNERUXlWw+JRIKrV69ixowZkEgk4vEr6JgcO3YMGhoaefryqFGj0LRpU/H3sLAwuLq6QlNTE5aWlhg5ciTev38vvm5lZYWZM2fC29sbenp6GDRoEADAyckJ5cqVw969e/OtN2URBAGXTmyGa7shsKvZDKaWdmjfbx7eJb5A5PX8b3pWqdEUlau5oaypFcqaVULTTmOgpq6Fpw+y+rmSkjJ09I2lfiKvnYBjndZQ08i/X9N/x8vgM7jnswTP9xXPzXX6fgmCgNOHt6Jlp0FwrtMUFhXt8NPw2Uh68xK3Lp/M931Df1mNeu4dYG5pCwsrO/Qa9hveJMTj8YO7UuXU1DShZ2Ak/mhole4TZ0SkeARBwPngzXD3HAKHWs1gVsEOXQbNxbvEF4i4lv/nnH3NJrCr7gYjMysYmVVCiy6joaahhccx//7dUKeJFyrZ10EZYwuUs3JC886jkPQ6Hm9ePv0au0YKaMqUKUhKSpL6yTkS/0tlZmbCxMQEa9euhYuLC7p164apU6di9erVxbaN3L75oP7r169x9OhRDB8+XOYf8bmDm35+fvDy8sLNmzfRpk0b9OrVC69fv5ZrWzt27ICvry9mz56NK1euwNzcXCqImy0kJARRUVE4fvw4Dh48iPT0dHh4eEBXVxdnz57FuXPnoKOjg1atWiEtLU1836lTpxATE4NTp05h06ZN8Pf3h7+/v8y66Ovro0aNGmKQ+9atW5BIJLh+/TqSk5MBAKdPn4abm1ue91paWmL37t0AgKioKMTHx2Pp0qXi65s2bYK2tjYuXryI33//HTNmzJAZDAKygiMbN24EkBWwiY+PBwBs27YN06dPx6xZsxAREYHZs2dj2rRp2LRpEwCgV69e2L59u1RKg8DAQJQrVw6urlkj0UaMGIELFy5g+/btuHnzJrp27YpWrVohOjpafE9KSgrmzZuHdevW4c6dOzIno8g2efJkzJ07FxEREahWrRrmzJmDzZs3Y/Xq1bhz5w7GjBmDn376CadPnwYAPH36FI0bN4a6ujpOnjyJq1evol+/fvj06ZNc+5iTkpISevTokSdn+bZt29CoUaMCR2lOnToV48ePR3h4OKpUqYIePXqIdTh37hyGDBmCUaNGITw8HC1atMCsWbPyXVc2XV1d+Pv74+7du1i6dCn+/PNPLF68WKpMTEwMgoKCcPDgQRw8eBCnT5/G3LlzAWSlo2jQoAEGDhwoHvfsG0i5paSkYNmyZdi+fTuOHj2K0NBQdOzYEYcPH8bhw4exZcsWrFmzRuqGSnp6OmbOnIkbN24gKCgIcXFxBQZ8P378CBcXFxw6dAi3b9/GoEGD8PPPP+eZeXzTpk1QU1PDuXPn8r1wytM2BXn8+DE6deoET09PhIeHY8CAATLTgBSl7+bk7e2Nf/75B6Ghodi9ezfWrl0rdcNj9+7dWLx4MdasWYPo6GgEBQXB2dk53/WFhYVBS0sLDg4O4rLq1avjypUrePPmDa5evYoPHz7A1tYWYWFhuHbtWoE3CXLau3cvRo0ahXHjxuH27dsYPHgw+vbti1OnTgEALl++jFatWsHLyyvPdSinVatWYfjw4Rg0aBBu3bqF/fv3w9bWVqrM93JtL4qCrtWZmZno1KkT1NTUcPHiRaxevTrPjVR56597v2VJTk5GmzZtEBISguvXr6NVq1bw9PSUutFaWN8FgK5du+LFixc4cuQIrl69ilq1aqFZs2aFHsu5c+eibNmyqFmzJubPny9eI2Vxc3NDWFiYeCPx9OnTMDIyEj9Pnz59ipiYGKmbKNkKu/ZNnToVCxcuxJUrV6CiooJ+/frlW4/4+Hg4OTlh3LhxiI+Px/jx4ws9Js2aNYOBgYH4GQ5kPekTGBgopsiKiYlBq1at0LlzZ9y8eROBgYEICwvLcyNswYIFqF69Oq5fv45p06aJy+vWrYuzZ6VHilNeiQlPkJz0EpUcGorLNLR0YWFdDU9jwuVaR2ZmBm5fOoT0tBSUt6khs0x83G08fxyBGj90LoZaE9F/yasXT/A2MQFVnP8d9KWppYuKts6IjS78hnm2DylZf1tq6Ug/uXYl7BB+GeCKOeM64kDAEqSlfiieihPRf8abl0+QnJQAG6cG4jINLV2Ut66Gx/flu05lZmbg5t+HkJaaggq2NWSWSUtNwbWze1DGuDz0y5b+k/r0bVJXV4eenp7Uj6zUO0BW6lJlZWU8f/5cavnz58/zzRJgbm6OKlWqSKXacXBwwLNnz6T+/i5O33z6nfv370MQBNjb28tVvk+fPujRowcAYPbs2Vi2bBkuXbqEVq0Kz1G6ZMkS9O/fH/379wcA/Pbbbzhx4kSeEZ3a2tpYt26dmKJg69atyMzMxLp168SR7Bs3boSBgQFCQ0PRsmVLAFmj5v/44w8oKyvD3t4ebdu2RUhIiFRKgZzc3d0RGhqK8ePHIzQ0FC1atEBkZCTCwsLQqlUrhIaGYuLEiXnep6ysLD5Wb2JikufGR7Vq1cRHPypXrow//vgDISEhaNGiRZ516ejoiO/P2XF9fHywcOFCdOrUCQBQqVIl3L17F2vWrEHv3r3h5eWF0aNHi6MJASAgIAA9evSARCLBo0ePsHHjRjx69AjlypUDkHUD4ejRo9i4cSNmz54NICsotXLlSrkmlpgxY4a4D6mpqZg9ezZOnDiBBg2yPkCsra0RFhaGNWvWwM3NDStWrIC+vj62b98OVVVVAECVKlXk3sfcevXqhYULF+LRo0eoUKECMjMzsX37dvz6668F1nv8+PFo27YtgKzApZOTE+7fvw97e3ssX74crVu3xvjx48X6nT9/Pt/AW7ac27SyssL48eOxfft2qf6SmZkJf39/MY3Fzz//jJCQEMyaNQv6+vpQU1ODlpZWoWlN0tPTxdHaANClSxds2bIFz58/h46ODhwdHdGkSROcOnUK3bp1AwCpQJi1tTWWLVuGOnXqIDk5WWbeaQsLC7ENAOB///sfgoODsWPHDtStW1dcXrlyZfz+++9f3DYFyd7XhQsXAgDs7Oxw69YtzJs3L0+7yNt3s0VGRuLEiRO4fPkyateuDSDraZGcqWsePXoEMzMzNG/eHKqqqqhQoYJUG+T28OFDmJqaSqX+8fDwwE8//YQ6depAU1NTDB4PHToU/v7+WLVqFZYvXw4jIyOsXbsWTk5OMte9YMEC9OnTB8OGDQMA8empBQsWoEmTJjA2Noa6ujo0NTUL7Ee//fYbxo0bh1GjRonL6tSpI1Xme7q2y6uga/WJEycQGRmJ4OBg8Ro6e/ZstG7dWnx/YGCgXPXPvd+yVK9eXaovz5w5E3v37sX+/fsxYsQIufpuWFgYLl26hBcvXohfnhYsWICgoCDs2rVLHE2e28iRI1GrVi0YGhri/PnzmDJlCuLj47Fo0SKZ5V1dXfHu3Ttcv34dLi4uOHPmDCZMmCA+sRMaGgoLC4s8N44AFHrtmzVrlngzffLkyWjbti0+fvwIDY28KQnMzMygoqICHR0dcV3y9Knu3bsjICBA7K8hISFITExE585ZQd85c+agV69e4lM/lStXxrJly+Dm5oZVq1aJdWnatCnGjRuXp17lypXD9evXZbYd/Ss56SUAQFuvrNRybT0jJCclFPje50+isHFOD3xKT4Wauha6DvsDxuXy9jcAuB62G0bmNrC0rVU8FSei/4x3ia8AALr60tcpXf2yeJdY8HUqW2ZmJvZsmodKdjVRrsK/n9kujdqgjFE56Bsa45+H97A/YDFe/BOH/uOXFFv9iej7l/2dSSfXdUpHzwjv/v+7Vn6ePb6HtTP///uUhhZ6jlwOEwvp71MXQwIQHLgQaakpMDKvhD4T1kNF5dtLJUq5KJVeWm95qampwcXFBSEhIeJT3ZmZmQgJCckzmCpbo0aNEBAQgMzMTDH+cu/ePZibm5dYittvPqifc6S3PKpVqyb+W1tbG3p6egWm9cgpIiICQ4YMkVrWoEEDcdRpNmdnZ6kDcuPGDdy/fz9Pjt+PHz9KpXJxcnKSumNjbm6OW7du5VsfNzc3rF+/HhkZGTh9+jRatmwJMzMzhIaGolq1arh//77MkYaFydlG2fWQt40A4P3794iJiUH//v2lglafPn0ScxMbGxujZcuW2LZtG1xdXREbG4sLFy5gzZo1ALKePMjIyJAKogNZwfiyZf+94KupqeWpb36yA0lA1s2glJSUPDcq0tLSULNmTQBAeHg4XF1dxYB+Ufcxtxo1asDBwQEBAQGYPHkyTp8+jRcvXqBr164F1jvn/pmbmwMAXrx4AXt7e0RFRaFjx45S5evWrVtoUD8wMBDLli1DTEwMkpOT8enTJ+jp6UmVsbKykuqzRe0H2bS0tMSAPpCVY8zKykoqOG9qaiq17qtXr8LX1xc3btzAmzdvkJmZCSArYO3o6JhnGxkZGZg9ezZ27NiBp0+fIi0tDampqdDS0pIq5+LiUmh95WmbgkRERKBevXpSy7JvHOVUlL6bLSoqCioqKqhV69/gjq2trdREv127dsWSJUtgbW2NVq1aoU2bNvD09Mx3DokPHz7IDDj6+vpKpXPx8/MTbxT89ttvuHXrFg4ePAhvb29cvXpV5rojIiLyBGIbNWqU74h8WV68eIF//vmn0AnPv6dru7wKulZHRETA0tJSDOhn71NO8tY/937LkpycDF9fXxw6dAjx8fH49OkTPnz4II7Ul6fv3rhxA8nJyVLXeCCrj+asT25jx44V/12tWjWoqalh8ODBmDNnjsyRFQYGBqhevTpCQ0OhpqYGNTU1DBo0CD4+PkhOTs73KTd55He9ljddlTzHpFevXqhfvz7++ecflCtXDtu2bUPbtm3FG+w3btzAzZs3sW3bNvH9giAgMzMTsbGx4lM5OT8Tc9LU1ERKSkq+dZQ1gVR6mlq+OU+/F7f+PoBDW/7Nddlj5Oc/JmtkVgmDpu9F6od3uHs1GPs3TIb3xC15AvvpaR9x++JBuLYb+tnbIqL/jitnDyLwzxni74Mnf/mcC7s2zMKzx/cxyk/6SeSGzf/9+6VchSrQK2OMFTMHIOHZYxiZyX56l4go/PwB7Pf3FX//eeyq/AsXwsjcCsNn7sHHlGTcuRyM3X9OwYApm6UC+9UbeMLGqSHeJb7EuSMbEbhiDAb+GvDdf2+lr2Ps2LHo3bs3ateujbp162LJkiV4//49+vbtCyDrSXULCwvMmTMHADB06FD88ccfGDVqFP73v/8hOjoas2fPljsTwuf45oP6lStXhkQikXsy3NwBWolEIgYMi0vuNEDJyclwcXGR+gM7m7Gx8WfXrXHjxnj37h2uXbuGM2fOYPbs2TAzM8PcuXNRvXp1lCtX7rMmn/zSNspO//Pnn3/mCW7mDGz16tULI0eOxPLlyxEQEABnZ2cxTUhycjKUlZVx9erVPLNA5wwGa2pqyj05b87jkl3HQ4cOwcLCQqpcdhBIU1Pzi/cxt169eolB/YCAALRq1SpPACu3nMcje1+/pM9euHABvXr1gp+fHzw8PMSnEbJHlsvabva2P2e7stZT0Lrfv38PDw8PeHh4YNu2bTA2NsajR4/g4eGR7yNJ8+fPx9KlS7FkyRI4OztDW1sbo0ePzlO+oDzbgPxtUxxk9V0lJaU8NyqLms/f0tISUVFROHHiBI4fP45hw4Zh/vz5OH36tMwbVEZGRnjz5k2B64yMjMTWrVtx/fp1bNiwAY0bN4axsTG8vLzQr18/vHv3rlgnJs2poPMwp+/p2i5vPyiOa7U89S/svAGynig6fvw4FixYAFtbW2hqaqJLly5FeowwOTkZ5ubmUnOnZCtsnpCc6tWrh0+fPiEuLi7fOQCyn3RTV1eHm5sbDA0N4eDggLCwMJw+fVrmCHZ5fOn1Wp5jUqdOHdjY2GD79u0YOnQo9u7dK5XOKTk5GYMHD5b55TDnzYX8juvr16+ljn9usiaQ6thnOjr18y1gzxRflRpNYFHp35s2nz5l9e33b19B1+Df9Gnv3ybAzNIhz/tzUlZRy5ooF4C5VVXEx93GpROb0dZ7hlS5iKvBSE/7iGoNOxTTXhDR96xq7SaoWDnHdSo96zr1LukV9Mv8e11/l/QKFlaFP+W+a8Ms3Ll2GiN9/WFQSLqKirZZf8O9fPaIQX0iypdDzaawtMl7nUpOkv4+lfw2AeYVCv4+paKi9v8T5QIWlZzwJPYWzh/bgg59//2eqqGlCw0tXRiZWcHStjpmDa2Pu1dPoHqDtsW5W/Qf1a1bN7x8+RLTp0/Hs2fPUKNGDRw9elScPPfRo0dSGREsLS0RHByMMWPGoFq1arCwsMCoUaPypMktTt98UN/Q0BAeHh5YsWIFRo4cmeeP1MTExCIFAwri4OCAixcvwtvbW1yWeyJeWWrVqoXAwECYmJgUacRvYQwMDFCtWjX88ccfUFVVhb29PUxMTNCtWzccPHiwwJGG2aMuc05OWlxMTU1Rrlw5PHjwQMzxK0v79u0xaNAgHD16FAEBAVLtWrNmTWRkZODFixdiep7ilHNy0vzaqVq1ati0aRPS09PzBM/k3cfcevbsiV9//RVXr17Frl27vnhCDDs7O1y+fFlqWe7fczt//jwqVqyIqVOnisuyJ+otCjU1tRLpP5GRkXj16hXmzp0r5qrOnhA6P+fOnUP79u3x008/AcgKot27d0/mqP6CFEfbODg4SE3SCsh3nQCygnbZ81IAWefn7du3xYmt7ezs8OnTJzFtCJD11EnuoLympiY8PT3h6emJ4cOHw97eHrdu3ZIaJZ2tZs2aePbsGd68eSM1ajqbIAgYPHgwFi1aBB0dHWRkZIgB5uz/59cPHBwccO7cOal0VOfOnSvScdHV1YWVlRVCQkLEdihu39q13djYGLdv35ZaFh4eLvOmTH4cHBzw+PFjxMfHiyPGc+9Tcdb/3Llz6NOnj/jkUHJystQEsvL03Vq1auHZs2dQUVGBlZXVZ9clPDwcSkpKBc5T4ebmhg0bNkBFRUVM0eTu7o6//voL9+7dK/Apt5K69gHyH5NevXph27ZtKF++PJSUlMQUbdnruHv3rsz0QfK4fft2gfs/ZcoUqacjAGD35e//MWZ1DR2oa/w7qEAQBOjoGyM24gLM/v+PztQPyXj64CZc3HsUad2CkCneJMgp/OwuVKnRBNq6hl9WeSL6T9DQ1IaG5r9/CwuCAD0DI9y7dRHl/z+I/zElGQ/v38IPLbrlux5BELB742zcvHQSI3w2oKxJ+UK3/TQ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},
"metadata": {}
}
],
"source": [
"\n",
"\n",
"# List of preventive measures columns\n",
"preventive_measures = ['Use of insecticide-treated bed nets (% of under-5 population)',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)']\n",
"\n",
"# Calculate correlations between each preventive measure and case fatality rate for the same year\n",
"correlation_data = df_cases.groupby('Year')[preventive_measures + ['Case Fatality Rate (%)']].corr()\n",
"\n",
"# Filter correlations with case fatality rate\n",
"case_fatality_corr = correlation_data.xs('Case Fatality Rate (%)', level=1)\n",
"\n",
"# Plotting a heatmap to visualize correlations\n",
"plt.figure(figsize=(12, 8))\n",
"\n",
"# Adding country names and incidence rates to the heatmap\n",
"heatmap_data = case_fatality_corr.join(df_cases.groupby('Year')['Country Name', 'Incidence of malaria (per 1,000 population at risk)'].last())\n",
"\n",
"sns.heatmap(heatmap_data.corr(), annot=True, cmap='coolwarm', center=0)\n",
"plt.title('Correlation Between Preventive Measures, Incidence Rate, and Case Fatality Rate')\n",
"plt.xlabel('Variables')\n",
"plt.ylabel('Variables')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "CxAeX1Ynrfb5",
"outputId": "f09c4bf0-c811-4727-d714-4e100f43038d"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name_left', 'geometry', 'index_right', 'Country Name_right',\n",
" 'Year', 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'Total Malaria Cases', 'Mortality Rate',\n",
" 'Prevalence Rate', 'Incidence Rate Urban', 'Incidence Rate Rural',\n",
" 'Standardized Incidence Rate', 'Mortality Rate Urban',\n",
" 'Mortality Rate Rural'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 75
}
],
"source": [
"sorted_merged_gdf.columns"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "PUGFh0OKB-pm"
},
"source": [
"# Spatial analysis\n",
"\n",
"* Spatial clustering : The essence of clustering is to group countries with similar characteristics together on the map. In this case, the clustering is based on the incidence rate of malaria. This will help us to visually compare how incidence rates change across different years"
]
},
{
"cell_type": "code",
"execution_count": 75,
"metadata": {
"id": "is73KgMp-fQv"
},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 76,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 763
},
"id": "zkbyvZ9kcnms",
"outputId": "bb90887b-3806-4c45-b8b8-f20e78dda2d6"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
""
],
"text/html": [
"
Make this Notebook Trusted to load map: File -> Trust Notebook
"
]
},
"metadata": {},
"execution_count": 76
}
],
"source": [
"\n",
"import folium\n",
"from folium.plugins import MarkerCluster\n",
"\n",
"# Create a map\n",
"m = folium.Map(location=[0, 0], zoom_start=2)\n",
"\n",
"# Create a marker cluster group\n",
"marker_cluster = MarkerCluster().add_to(m)\n",
"\n",
"# Define colors for clusters\n",
"cluster_colors = ['blue', 'green', 'red']\n",
"\n",
"# Define the percentiles for classification\n",
"percentiles = [0.33, 0.66] # Adjust the percentiles as needed\n",
"\n",
"for year in sorted_merged_gdf['Year'].unique():\n",
" # Calculate the percentiles for incidence rates for the current year\n",
" incidence_percentiles = sorted_merged_gdf[sorted_merged_gdf['Year'] == year]['Incidence of malaria (per 1,000 population at risk)'].quantile(percentiles)\n",
"\n",
" for idx, row in sorted_merged_gdf[sorted_merged_gdf['Year'] == year].iterrows():\n",
" if row['Incidence of malaria (per 1,000 population at risk)'] > incidence_percentiles.iloc[1]:\n",
" cluster = 2 # High incidence\n",
" elif row['Incidence of malaria (per 1,000 population at risk)'] < incidence_percentiles.iloc[0]:\n",
" cluster = 0 # Low incidence\n",
" else:\n",
" cluster = 1 # Medium incidence\n",
"\n",
" popup_html = f\"Country: {row['Country Name_right']} Year: {year} Cluster: {cluster}\" \\\n",
" f\" Incidence Rate: {row['Incidence of malaria (per 1,000 population at risk)']}\" \\\n",
" f\" Mortality Rate: {row['Mortality Rate']}\"\n",
"\n",
" folium.CircleMarker(\n",
" location=[row['latitude'], row['longitude']],\n",
" radius=5,\n",
" color=cluster_colors[cluster],\n",
" fill=True,\n",
" fill_color=cluster_colors[cluster],\n",
" fill_opacity=0.7,\n",
" popup=folium.Popup(html=popup_html),\n",
" ).add_to(marker_cluster)\n",
"\n",
"# Add layer control to toggle clustering\n",
"folium.LayerControl().add_to(m)\n",
"\n",
"# Display the map in the notebook\n",
"m"
]
},
{
"cell_type": "code",
"execution_count": 77,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0d1XUMAjffbk",
"outputId": "55a7a4cd-554e-4821-ccfc-1a06eca0d246"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
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"Installing collected packages: libpysal\n",
"Successfully installed libpysal-4.7.0\n"
]
}
],
"source": [
"!pip install libpysal"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OS3GIAG1f9QL",
"outputId": "81a5179b-d5cb-4d44-c44a-2cc65f1775ff"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Collecting esda\n",
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"Building wheels for collected packages: esda\n",
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" Created wheel for esda: filename=esda-2.4.3-py3-none-any.whl size=122762 sha256=636a37a60850031f91fbf9347df47723b27f1a30de8f3eed832b35760f88e456\n",
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"Successfully built esda\n",
"Installing collected packages: esda\n",
"Successfully installed esda-2.4.3\n"
]
}
],
"source": [
"!pip install esda"
]
},
{
"cell_type": "code",
"execution_count": 79,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "xlOrjf7rpfax",
"outputId": "ad6e9e67-9cb2-48c8-f1b9-005b1c679e03"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Moran's I for Incidence of malaria (per 1,000 population at risk): -0.0238748319430682\n",
"Expected Moran's I for Incidence of malaria (per 1,000 population at risk): -0.002277904328018223\n",
"P-value for Incidence of malaria (per 1,000 population at risk): 0.0\n",
"Z-score for Incidence of malaria (per 1,000 population at risk): -43.96054801057853\n",
"--------------------\n",
"Moran's I for Mortality Rate: -0.02351543163045032\n",
"Expected Moran's I for Mortality Rate: -0.002277904328018223\n",
"P-value for Mortality Rate: 0.0\n",
"Z-score for Mortality Rate: -43.228988643456084\n",
"--------------------\n",
"Moran's I for Total Malaria Cases: -0.025408798683309242\n",
"Expected Moran's I for Total Malaria Cases: -0.002277904328018223\n",
"P-value for Total Malaria Cases: 0.0\n",
"Z-score for Total Malaria Cases: -47.08293744174952\n",
"--------------------\n",
"Moran's I for Total Population: -0.025394833203846393\n",
"Expected Moran's I for Total Population: -0.002277904328018223\n",
"P-value for Total Population: 0.0\n",
"Z-score for Total Population: -47.054510707106516\n",
"--------------------\n"
]
}
],
"source": [
"# Spatial autocorrelation analysis\n",
"import libpysal\n",
"from esda.moran import Moran\n",
"\n",
"# Calculate spatial weights\n",
"w = libpysal.weights.DistanceBand.from_dataframe(sorted_merged_gdf, threshold=200, binary=True)\n",
"\n",
"# Select the columns for analysis\n",
"columns_to_analyze = ['Incidence of malaria (per 1,000 population at risk)', 'Mortality Rate', 'Total Malaria Cases', 'Total Population']\n",
"\n",
"# Calculate Moran's I statistic for each column\n",
"for column in columns_to_analyze:\n",
" series = sorted_merged_gdf[column]\n",
" moran = Moran(series, w)\n",
"\n",
" # Interpret the Moran's I result for each column\n",
" print(f\"Moran's I for {column}:\", moran.I)\n",
" print(f\"Expected Moran's I for {column}:\", moran.EI)\n",
" print(f\"P-value for {column}:\", moran.p_norm)\n",
" print(f\"Z-score for {column}:\", moran.z_norm)\n",
" print(\"--------------------\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TWbjL4lBcf2w"
},
"source": [
"Moran's I is like a special tool we use to see if the sick people are spread out in a certain way. The number we got for Moran's I is -0.023. This number tells us that the way sick people are spread out on the map is different from what we'd expect if it was just random. It's like if we saw more sick people in some countries close to each other and fewer sick people in others nearby.\n",
"\n",
"The expected Moran's I is a number that says what we'd expect if the sickness was just happening randomly. In this case, that number is -0.002. So, the actual way the sickness is spread out is quite different from what we'd expect if it was just random.\n",
"\n",
"The p-value is like a special test that tells us if our findings are strong or not. The p-value here is very close to zero, which means our findings are super strong. It's like we found a really important clue that says the way malaria is spreading in Africa isn't just by chance.\n",
"\n",
"The Z-score is another number that helps us understand how different our findings are from random.\n",
"\n",
"So, all these numbers together tell us that the way malaria is spreading in African countries is not random. There's a special pattern to it, and we need to figure out why some places have more sick people while others nearby have fewer (probably a future research direction).\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 80,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rV-pPHi9jCz_",
"outputId": "d3c04e66-bb6b-47bb-cb36-d8593e0c4f54"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
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"Requirement already satisfied: click-plugins>=1.0 in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.19->geopandas>=0.4.0->splot) (1.1.1)\n",
"Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.19->geopandas>=0.4.0->splot) (0.7.2)\n",
"Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.19->geopandas>=0.4.0->splot) (1.16.0)\n",
"Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=1.1.0->geopandas>=0.4.0->splot) (2023.3)\n",
"Requirement already satisfied: numba>=0.49.0 in /usr/local/lib/python3.10/dist-packages (from quantecon>=0.4.7->giddy->splot) (0.56.4)\n",
"Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from quantecon>=0.4.7->giddy->splot) (1.12)\n",
"Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->esda->splot) (1.3.2)\n",
"Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->esda->splot) (3.2.0)\n",
"Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->libpysal->splot) (2.4.1)\n",
"Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->libpysal->splot) (2.1.3)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->libpysal->splot) (3.2.0)\n",
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->libpysal->splot) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->libpysal->splot) (2.0.4)\n",
"Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba>=0.49.0->quantecon>=0.4.7->giddy->splot) (0.39.1)\n",
"Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from numba>=0.49.0->quantecon>=0.4.7->giddy->splot) (67.7.2)\n",
"Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->quantecon>=0.4.7->giddy->splot) (1.3.0)\n",
"Installing collected packages: quantecon, mapclassify, spreg, giddy, splot\n",
"Successfully installed giddy-2.3.4 mapclassify-2.6.0 quantecon-0.7.1 splot-1.1.5.post1 spreg-1.3.2\n"
]
}
],
"source": [
"!pip install splot"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 565
},
"id": "hQRx8Nmdi41p",
"outputId": "64020f6b-f2db-42e0-f411-d93978454dcb"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/splot/_viz_esda_mpl.py:354: FutureWarning:\n",
"\n",
"\n",
"\n",
"`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
"This will become an error in seaborn v0.14.0; please update your code.\n",
"\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
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},
"metadata": {}
}
],
"source": [
"\n",
"from esda import G_Local\n",
"\n",
"# Calculate Getis-Ord Gi* statistic for incidence rate\n",
"incidence_rate = sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)']\n",
"w = libpysal.weights.Queen.from_dataframe(sorted_merged_gdf)\n",
"getis_ord_incidence = G_Local(incidence_rate, w, star=True)\n",
"gi_star_incidence = getis_ord_incidence.Gs\n",
"\n",
"# Calculate Getis-Ord Gi* statistic for mortality rate\n",
"mortality_rate = sorted_merged_gdf['Mortality Rate']\n",
"w_mortality = libpysal.weights.Queen.from_dataframe(sorted_merged_gdf)\n",
"getis_ord_mortality = G_Local(mortality_rate, w_mortality, star=True)\n",
"gi_star_mortality = getis_ord_mortality.Gs\n",
"\n",
"# Add Gi* values to the GeoDataFrame\n",
"sorted_merged_gdf['Gi_Star_Incidence'] = gi_star_incidence\n",
"sorted_merged_gdf['Gi_Star_Mortality'] = gi_star_mortality\n",
"\n",
"# Plot hotspot analysis results for incidence rate\n",
"plt.figure(figsize=(20, 10))\n",
"sns.set(style=\"whitegrid\")\n",
"ax = sns.scatterplot(data=sorted_merged_gdf, x='longitude', y='latitude', hue='Gi_Star_Incidence', palette='coolwarm', legend='brief')\n",
"\n",
"# Customize plot settings\n",
"ax.set_title('Getis-Ord Gi* Hotspot Analysis - Incidence Rate')\n",
"ax.legend(title='Gi* Incidence', loc='upper right')\n",
"ax.set_xlabel('Longitude')\n",
"ax.set_ylabel('Latitude')\n",
"\n",
"# Add country labels as bigger text\n",
"for index, row in sorted_merged_gdf.iterrows():\n",
" ax.text(row['longitude'], row['latitude'], row['Country Name_right'], fontsize=14, color='black', ha='center', va='center')\n",
"\n",
"plt.show()\n",
"\n",
"# Plot hotspot analysis results for mortality rate\n",
"plt.figure(figsize=(20, 15))\n",
"sns.set(style=\"whitegrid\")\n",
"ax = sns.scatterplot(data=sorted_merged_gdf, x='longitude', y='latitude', hue='Gi_Star_Mortality', palette='coolwarm', legend='brief')\n",
"\n",
"# Customize plot settings\n",
"ax.set_title('Getis-Ord Gi* Hotspot Analysis - Mortality Rate')\n",
"ax.legend(title='Gi* Mortality', loc='upper right')\n",
"ax.set_xlabel('Longitude')\n",
"ax.set_ylabel('Latitude')\n",
"\n",
"# Add country labels as bigger text\n",
"for index, row in sorted_merged_gdf.iterrows():\n",
" ax.text(row['longitude'], row['latitude'], row['Country Name_right'], fontsize=14, color='black', ha='center', va='center')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 988
},
"id": "MNGgn5WTh9Kt",
"outputId": "4763f802-05d9-49b1-c7eb-815b2a80c303"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/libpysal/weights/weights.py:172: UserWarning:\n",
"\n",
"The weights matrix is not fully connected: \n",
" There are 4 disconnected components.\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/esda/getisord.py:596: UserWarning:\n",
"\n",
"Gi* requested, but (a) weights are already row-standardized, (b) no weights are on the diagonal, and (c) no default value supplied to star. Assuming that the self-weight is equivalent to the maximum weight in the row. To use a different default (like, .5), set `star=.5`, or use libpysal.weights.fill_diagonal() to set the diagonal values of your weights matrix and use `star=None` in Gi_Local.\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/geopandas/geodataframe.py:1538: SettingWithCopyWarning:\n",
"\n",
"\n",
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
"Try using .loc[row_indexer,col_indexer] = value instead\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
"\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"
"
],
"image/png": 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},
"metadata": {}
}
],
"source": [
"\n",
"import geopandas as gpd\n",
"from esda import G_Local\n",
"\n",
"# Calculate percentiles for incidence rate and mortality rate\n",
"incidence_percentile = sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)'].quantile(0.85)\n",
"mortality_percentile = sorted_merged_gdf['Mortality Rate'].quantile(0.85)\n",
"\n",
"# Filter data based on percentiles\n",
"high_incidence_mortality = sorted_merged_gdf[\n",
" (sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)'] > incidence_percentile) &\n",
" (sorted_merged_gdf['Mortality Rate'] > mortality_percentile)\n",
"]\n",
"\n",
"# Calculate Getis-Ord Gi* statistic for the filtered data\n",
"incidence_rate = high_incidence_mortality['Incidence of malaria (per 1,000 population at risk)']\n",
"w = libpysal.weights.Queen.from_dataframe(high_incidence_mortality)\n",
"getis_ord = G_Local(incidence_rate, w, star=True)\n",
"gi_star_values = getis_ord.Gs\n",
"\n",
"# Add Gi* values to the GeoDataFrame\n",
"high_incidence_mortality['Gi_Star'] = gi_star_values\n",
"\n",
"# Plot hotspot analysis results\n",
"plt.figure(figsize=(20, 10))\n",
"sns.set(style=\"whitegrid\")\n",
"ax = sns.scatterplot(data=high_incidence_mortality, x='longitude', y='latitude', hue='Gi_Star', palette='coolwarm', legend='brief')\n",
"\n",
"# Customize plot settings\n",
"ax.set_title('Hotspot Analysis for High Incidence and High Mortality')\n",
"ax.legend(title='Gi* Value', loc='upper right')\n",
"ax.set_xlabel('Longitude')\n",
"ax.set_ylabel('Latitude')\n",
"\n",
"# Add country labels as bigger text\n",
"for index, row in high_incidence_mortality.iterrows():\n",
" ax.text(row['longitude'], row['latitude'], row['Country Name_right'], fontsize=14, color='black', ha='center', va='center')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 957
},
"id": "2pRQO7iRfFb5",
"outputId": "0eeea554-26cf-4207-870d-b6ee07e247f5"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/libpysal/weights/weights.py:172: UserWarning:\n",
"\n",
"The weights matrix is not fully connected: \n",
" There are 7 disconnected components.\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/esda/getisord.py:596: UserWarning:\n",
"\n",
"Gi* requested, but (a) weights are already row-standardized, (b) no weights are on the diagonal, and (c) no default value supplied to star. Assuming that the self-weight is equivalent to the maximum weight in the row. To use a different default (like, .5), set `star=.5`, or use libpysal.weights.fill_diagonal() to set the diagonal values of your weights matrix and use `star=None` in Gi_Local.\n",
"\n"
]
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Interactive map saved as 'hotspot_analysis_map.html'.\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
""
],
"text/html": [
"
Make this Notebook Trusted to load map: File -> Trust Notebook
"
]
},
"metadata": {}
}
],
"source": [
"\n",
"from esda import G_Local\n",
"import folium\n",
"from folium.plugins import MarkerCluster\n",
"\n",
"# Calculate Getis-Ord Gi* statistic\n",
"incidence_rate = sorted_merged_gdf['Standardized Incidence Rate']\n",
"\n",
"# Create a spatial weights matrix (w) using libpysal\n",
"w = libpysal.weights.Queen.from_dataframe(sorted_merged_gdf)\n",
"\n",
"# Check if the dimensions match between incidence_rate and w\n",
"if len(incidence_rate) == w.n:\n",
" # Calculate Getis-Ord Gi* statistic\n",
" getis_ord = G_Local(incidence_rate, w, star=True)\n",
"\n",
" # Extract Gi* statistics and p-values\n",
" gi_star_values = getis_ord.Gs\n",
"\n",
" # Add Gi* values to the GeoDataFrame\n",
" sorted_merged_gdf['Gi_Star'] = gi_star_values\n",
"\n",
" # Create an interactive map using Folium\n",
" m = folium.Map(location=[sorted_merged_gdf['latitude'].mean(), sorted_merged_gdf['longitude'].mean()], zoom_start=4)\n",
" marker_cluster = MarkerCluster().add_to(m)\n",
"\n",
" for idx, row in sorted_merged_gdf.iterrows():\n",
" folium.Marker([row['latitude'], row['longitude']],\n",
" popup=f\"Country: {row['Country Name_right']} Gi*: {row['Gi_Star']:.4f}\",\n",
" icon=folium.Icon(color='blue')).add_to(marker_cluster)\n",
"\n",
" m.save('hotspot_analysis_map.html')\n",
" print(\"Interactive map saved as 'hotspot_analysis_map.html'.\")\n",
"\n",
" display(m)\n",
"\n",
"\n",
"else:\n",
" print(\"Dimension mismatch: The length of incidence_rate is not equal to the number of spatial units in the data.\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ruN44uZMXg43"
},
"outputs": [],
"source": [
"!pip install pysal"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "BAN0e_C6W_p8"
},
"outputs": [],
"source": [
"#Spatial regression to check for the relationship between incidence rates, mortality rate, total malaria cases populations\n",
"from pysal.model import spreg\n",
"\n",
"# Create a spatial weights matrix (w) using libpysal\n",
"w = libpysal.weights.Queen.from_dataframe(sorted_merged_gdf)\n",
"\n",
"# Create a pandas DataFrame for the variables\n",
"data = pd.DataFrame({\n",
" 'Incidence': sorted_merged_gdf['Incidence of malaria (per 1,000 population at risk)'],\n",
" #'rural_population': sorted_merged_gdf['Rural Population'],\n",
" #'urban_population': sorted_merged_gdf['Urban Population'],\n",
" 'total_population': sorted_merged_gdf['Total Population'],\n",
" 'Mortality': sorted_merged_gdf['Mortality Rate'],\n",
" 'total_malaria_cases': sorted_merged_gdf['Total Malaria Cases']\n",
"})\n",
"\n",
"# Convert data to numpy arrays\n",
"y = data['Incidence'].values\n",
"X = data[['total_population', 'Mortality', 'total_malaria_cases']].values\n",
"\n",
"# Perform spatial regression\n",
"model = spreg.OLS(y, X, w=w, name_y='Incidence', name_x=['total_population' 'Mortality', 'total_malaria_cases'])\n",
"\n",
"# Print regression results\n",
"print(model.summary)\n",
"\n",
"# Create scatter plots to visualize relationships\n",
"sns.pairplot(data, kind='reg', plot_kws={'scatter_kws': {'alpha': 0.5}})\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DKfY_b2wnLXz"
},
"source": [
"From the spatial regression above, we can conclude that there is a strong positive relationship between the incidence rates, mortality rates, total malaria diseases and population with an R2 of 0.7359. Now we can analyse the effect of preventive measures on these features"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "uA2DN9HevJ-e"
},
"source": [
"# Preventive Measures based analysis\n"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "WoBrGPDajXXA",
"outputId": "feb9c2ec-abe6-4228-e3bc-d18014311232"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['Country Name_left', 'geometry', 'index_right', 'Country Name_right',\n",
" 'Year', 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death',\n",
" 'Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'Total Population', 'Rural Population', 'Urban Population',\n",
" 'Rural population (% of total population)',\n",
" 'Rural population growth (annual %)',\n",
" 'Urban population (% of total population)',\n",
" 'Urban population growth (annual %)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)',\n",
" 'latitude', 'longitude', 'Total Malaria Cases', 'Mortality Rate',\n",
" 'Prevalence Rate', 'Incidence Rate Urban', 'Incidence Rate Rural',\n",
" 'Standardized Incidence Rate', 'Mortality Rate Urban',\n",
" 'Mortality Rate Rural', 'Gi_Star_Incidence', 'Gi_Star_Mortality',\n",
" 'Gi_Star'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 90
}
],
"source": [
"sorted_merged_gdf.columns"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "FuW1Xc8TPRHX"
},
"outputs": [],
"source": [
"\n",
"\n",
"# Select columns for preventive measures and malaria metrics\n",
"preventive_columns = ['Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'People using at least basic drinking water services, rural (% of rural population)',\n",
" 'People using at least basic drinking water services, urban (% of urban population)',\n",
" 'People using at least basic sanitation services (% of population)',\n",
" 'People using at least basic sanitation services, rural (% of rural population)',\n",
" 'People using at least basic sanitation services, urban (% of urban population)']\n",
"\n",
"malaria_metrics = ['Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death','Mortality Rate',\n",
" 'Incidence Rate Urban', 'Incidence Rate Rural',\n",
" 'Mortality Rate Urban', 'Mortality Rate Rural']\n",
"\n",
"# Calculate correlation coefficients\n",
"correlation_matrix = sorted_merged_gdf[preventive_columns + malaria_metrics].corr()\n",
"correlation_matrix"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Mz-pkdRuMV3_"
},
"outputs": [],
"source": [
"#import statsmodels.graphics.api as sm\n",
"plt.figure(figsize = (30, 8))\n",
"import seaborn as sns\n",
"#sm.plot_corr(corr, xnames = list(correlation_matrix))\n",
"sns.heatmap(correlation_matrix, annot = True, cmap = \"coolwarm\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NgOUCV0Cl1pq",
"outputId": "2d25aa1e-ffdf-42eb-e2dc-809ca70461b1"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Use of insecticide-treated bed net in total population - Children with fever receiving antimalarial drugs (% of children under age 5 with fever): 0.0018386107281681088\n",
"Use of insecticide-treated bed net in total population - Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women): 0.05782229567383119\n",
"Use of insecticide-treated bed net in total population - People using at least basic drinking water services (% of population): -0.009047142733436427\n",
"Use of insecticide-treated bed net in total population - People using at least basic drinking water services, rural (% of rural population): -0.030904699263811123\n",
"Use of insecticide-treated bed net in total population - People using at least basic drinking water services, urban (% of urban population): -0.02469491473945423\n",
"Use of insecticide-treated bed net in total population - People using at least basic sanitation services (% of population): 0.012828771753873045\n",
"Use of insecticide-treated bed net in total population - People using at least basic sanitation services, rural (% of rural population): -0.022841562715375\n",
"Use of insecticide-treated bed net in total population - People using at least basic sanitation services, urban (% of urban population): -0.04296492989925395\n",
"Use of insecticide-treated bed net in total population - Incidence of malaria (per 1,000 population at risk): 0.001193452902215984\n",
"Use of insecticide-treated bed net in total population - Malaria cases reported: 0.12685264279416558\n",
"Use of insecticide-treated bed net in total population - Malaria death: -0.04500663538337942\n",
"Use of insecticide-treated bed net in total population - Mortality Rate: -0.05479438813812619\n",
"Use of insecticide-treated bed net in total population - Incidence Rate Urban: 0.042618580219311024\n",
"Use of insecticide-treated bed net in total population - Incidence Rate Rural: 0.014150251200650478\n",
"Use of insecticide-treated bed net in total population - Mortality Rate Urban: -0.016916903475561497\n",
"Use of insecticide-treated bed net in total population - Mortality Rate Rural: -0.06446244485409071\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women): -0.0027368874632769957\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - People using at least basic drinking water services (% of population): -0.11034373149469151\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - People using at least basic drinking water services, rural (% of rural population): -0.10836484112548683\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - People using at least basic drinking water services, urban (% of urban population): -0.016488332562632088\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - People using at least basic sanitation services (% of population): -0.14062976775580863\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - People using at least basic sanitation services, rural (% of rural population): -0.12531392436317454\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - People using at least basic sanitation services, urban (% of urban population): -0.15069431104805076\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Incidence of malaria (per 1,000 population at risk): 0.15267182670354834\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Malaria cases reported: 0.08445601658595911\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Malaria death: 0.153656955935791\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Mortality Rate: 0.16718765855998563\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Incidence Rate Urban: 0.16011681470211606\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Incidence Rate Rural: 0.07512454759084262\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Mortality Rate Urban: 0.181967518250083\n",
"Children with fever receiving antimalarial drugs (% of children under age 5 with fever) - Mortality Rate Rural: 0.14144430635424554\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - People using at least basic drinking water services (% of population): 0.03356826680680286\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - People using at least basic drinking water services, rural (% of rural population): 0.051885341796278475\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - People using at least basic drinking water services, urban (% of urban population): 0.01246534003899791\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - People using at least basic sanitation services (% of population): 0.019442118112040465\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - People using at least basic sanitation services, rural (% of rural population): 0.02545624774240083\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - People using at least basic sanitation services, urban (% of urban population): 0.010225429590015645\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Incidence of malaria (per 1,000 population at risk): 0.01114364862136191\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Malaria cases reported: 0.08493448101930129\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Malaria death: -0.10790224985862056\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Mortality Rate: -0.05744310498619969\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Incidence Rate Urban: -0.014724225597017075\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Incidence Rate Rural: 0.027601269472208992\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Mortality Rate Urban: -0.05821040846572728\n",
"Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women) - Mortality Rate Rural: -0.04934445892766886\n",
"People using at least basic drinking water services (% of population) - Malaria cases reported: -0.20918123142856973\n",
"People using at least basic drinking water services (% of population) - Malaria death: -0.16687182432934108\n",
"People using at least basic drinking water services (% of population) - Incidence Rate Rural: -0.07791167275487736\n",
"People using at least basic drinking water services, rural (% of rural population) - Malaria cases reported: -0.1289532822147787\n",
"People using at least basic drinking water services, rural (% of rural population) - Malaria death: -0.14425931895415264\n",
"People using at least basic drinking water services, rural (% of rural population) - Incidence Rate Rural: -0.18220779092314993\n",
"People using at least basic drinking water services, urban (% of urban population) - Malaria cases reported: -0.0749718537861375\n",
"People using at least basic drinking water services, urban (% of urban population) - Malaria death: -0.12347293286614405\n",
"People using at least basic drinking water services, urban (% of urban population) - Incidence Rate Rural: -0.17742866704569596\n",
"People using at least basic sanitation services (% of population) - Malaria cases reported: -0.19414339206904468\n",
"People using at least basic sanitation services (% of population) - Malaria death: -0.1702228036290008\n",
"People using at least basic sanitation services (% of population) - Incidence Rate Rural: -0.19690177597451156\n",
"People using at least basic sanitation services, rural (% of rural population) - Malaria cases reported: -0.09554918246140978\n",
"People using at least basic sanitation services, rural (% of rural population) - Malaria death: -0.09877199332297734\n",
"People using at least basic sanitation services, rural (% of rural population) - Incidence Rate Urban: -0.2746108740352675\n",
"People using at least basic sanitation services, rural (% of rural population) - Incidence Rate Rural: -0.0934257693381846\n",
"People using at least basic sanitation services, urban (% of urban population) - Malaria cases reported: -0.1849257649853945\n",
"People using at least basic sanitation services, urban (% of urban population) - Malaria death: -0.15256085376866618\n",
"People using at least basic sanitation services, urban (% of urban population) - Incidence Rate Rural: -0.1374400574504589\n",
"Incidence of malaria (per 1,000 population at risk) - Malaria cases reported: 0.2920210298417904\n",
"Malaria cases reported - Malaria death: 0.27813301319745065\n",
"Malaria cases reported - Mortality Rate: 0.17774723221084252\n",
"Malaria cases reported - Incidence Rate Rural: 0.1242193089526585\n",
"Malaria cases reported - Mortality Rate Urban: 0.19825940172892545\n",
"Malaria cases reported - Mortality Rate Rural: 0.1477183864220302\n",
"Malaria death - Incidence Rate Urban: 0.23733899831801722\n",
"Malaria death - Incidence Rate Rural: 0.1857558457968908\n",
"Malaria death - Mortality Rate Urban: 0.2747529030406701\n",
"Incidence Rate Rural - Mortality Rate Urban: 0.27511539120162337\n"
]
}
],
"source": [
"#Correlated features with their pearson correlation coefficient among the preventive measures\n",
"correlation_threshold = 0.3\n",
"#Finding highly correlated features\n",
"highly_correlated_features = []\n",
"for i in range(len(correlation_matrix.columns)):\n",
" for j in range(i+1, len(correlation_matrix.columns)):\n",
" if abs(correlation_matrix.iloc[i,j]) <= correlation_threshold:\n",
" feature_i = correlation_matrix.columns[i]\n",
" feature_j = correlation_matrix.columns[j]\n",
" highly_correlated_features.append((feature_i, feature_j, correlation_matrix.iloc[i,j]))\n",
"#print\n",
"for feature_i, feature_j, correlation in highly_correlated_features:\n",
" print(f\"{feature_i} - {feature_j}: {correlation}\")\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6xwEdtelTGSw"
},
"source": [
"Some interpretations to these values\n",
"\n",
"Correlations Close to 0:\n",
"Variables with correlation values close to 0 (e.g., around 0.001) indicate very weak linear relationships. For example, the correlation between \"Use of insecticide-treated bed net in total population\" and \"Children with fever receiving antimalarial drugs (% of children under age 5 with fever)\" is almost zero. This suggests that there's little to no linear relationship between these two variables.\n",
"\n",
"Weak Positive Correlations:\n",
"Correlation values between 0 and 0.3 represent weak positive correlations. For example, **the positive correlation between \"Use of insecticide-treated bed net in total population\" and \"Malaria cases reported\" is around 0.127.** This indicates that regions with higher usage of bed nets tend to report slightly higher malaria cases, which is actually counterintuitive. However, this doesn't imply causation and could be influenced by other factors.\n",
"\n",
"Weak Negative Correlations:\n",
"Similarly, weak negative correlations can be observed. For instance, the negative correlation between **\"Use of insecticide-treated bed net in total population\" and \"Mortality Rate\"** is around -0.055. This suggests that areas with higher bed net usage tend to have slightly lower mortality rates, but the relationship is not very strong.\n",
"\n",
"Moderate Correlations:\n",
"Correlation values between 0.3 and 0.7 indicate moderate correlations. The correlation between **\"Children with fever receiving antimalarial drugs (% of children under age 5 with fever)\" and \"Mortality Rate\" is around 0.167**. This suggests a moderate positive relationship between children receiving antimalarial drugs when they have a fever and the overall mortality rate in the region.\n",
"\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "P3jjqlC9UeDj",
"outputId": "a56767d5-1052-479d-8497-3f9ecdb13768"
},
"outputs": [
{
"metadata": {
"tags": null
},
"name": "stdout",
"output_type": "stream",
"text": [
"People using at least basic drinking water services (% of population) - People using at least basic drinking water services, rural (% of rural population): 0.8654254960365451\n",
"People using at least basic drinking water services (% of population) - People using at least basic drinking water services, urban (% of urban population): 0.7499470116648563\n",
"People using at least basic drinking water services (% of population) - People using at least basic sanitation services (% of population): 0.7524956601067133\n",
"People using at least basic drinking water services (% of population) - People using at least basic sanitation services, rural (% of rural population): 0.5284558326575817\n",
"People using at least basic drinking water services (% of population) - People using at least basic sanitation services, urban (% of urban population): 0.520001425449664\n",
"People using at least basic drinking water services (% of population) - Incidence of malaria (per 1,000 population at risk): -0.41829364318724505\n",
"People using at least basic drinking water services (% of population) - Mortality Rate: -0.5476685336720241\n",
"People using at least basic drinking water services (% of population) - Incidence Rate Urban: -0.5304014632749693\n",
"People using at least basic drinking water services (% of population) - Mortality Rate Urban: -0.5699006792519953\n",
"People using at least basic drinking water services (% of population) - Mortality Rate Rural: -0.4597691601931444\n",
"People using at least basic drinking water services, rural (% of rural population) - People using at least basic drinking water services, urban (% of urban population): 0.7562728693096292\n",
"People using at least basic drinking water services, rural (% of rural population) - People using at least basic sanitation services (% of population): 0.5537340254880893\n",
"People using at least basic drinking water services, rural (% of rural population) - People using at least basic sanitation services, rural (% of rural population): 0.5726092517155751\n",
"People using at least basic drinking water services, rural (% of rural population) - People using at least basic sanitation services, urban (% of urban population): 0.4417847296898831\n",
"People using at least basic drinking water services, rural (% of rural population) - Incidence of malaria (per 1,000 population at risk): -0.3545082134162098\n",
"People using at least basic drinking water services, rural (% of rural population) - Mortality Rate: -0.45858406241502553\n",
"People using at least basic drinking water services, rural (% of rural population) - Incidence Rate Urban: -0.35290850809025204\n",
"People using at least basic drinking water services, rural (% of rural population) - Mortality Rate Urban: -0.4073028574602391\n",
"People using at least basic drinking water services, rural (% of rural population) - Mortality Rate Rural: -0.46310513246569635\n",
"People using at least basic drinking water services, urban (% of urban population) - People using at least basic sanitation services (% of population): 0.5274890742810778\n",
"People using at least basic drinking water services, urban (% of urban population) - People using at least basic sanitation services, rural (% of rural population): 0.5972309056754809\n",
"People using at least basic drinking water services, urban (% of urban population) - People using at least basic sanitation services, urban (% of urban population): 0.4884467537669053\n",
"People using at least basic drinking water services, urban (% of urban population) - Incidence of malaria (per 1,000 population at risk): -0.3786929045184287\n",
"People using at least basic drinking water services, urban (% of urban population) - Mortality Rate: -0.4844600222793827\n",
"People using at least basic drinking water services, urban (% of urban population) - Incidence Rate Urban: -0.3161129450611224\n",
"People using at least basic drinking water services, urban (% of urban population) - Mortality Rate Urban: -0.36230602337799633\n",
"People using at least basic drinking water services, urban (% of urban population) - Mortality Rate Rural: -0.49454771417111015\n",
"People using at least basic sanitation services (% of population) - People using at least basic sanitation services, rural (% of rural population): 0.7502316673519864\n",
"People using at least basic sanitation services (% of population) - People using at least basic sanitation services, urban (% of urban population): 0.7652867107549991\n",
"People using at least basic sanitation services (% of population) - Incidence of malaria (per 1,000 population at risk): -0.4750883980664504\n",
"People using at least basic sanitation services (% of population) - Mortality Rate: -0.5846878055932918\n",
"People using at least basic sanitation services (% of population) - Incidence Rate Urban: -0.44817600999142665\n",
"People using at least basic sanitation services (% of population) - Mortality Rate Urban: -0.5132444505257688\n",
"People using at least basic sanitation services (% of population) - Mortality Rate Rural: -0.53398557734463\n",
"People using at least basic sanitation services, rural (% of rural population) - People using at least basic sanitation services, urban (% of urban population): 0.8014388809301313\n",
"People using at least basic sanitation services, rural (% of rural population) - Incidence of malaria (per 1,000 population at risk): -0.33858560485980543\n",
"People using at least basic sanitation services, rural (% of rural population) - Mortality Rate: -0.49271843593179004\n",
"People using at least basic sanitation services, rural (% of rural population) - Mortality Rate Urban: -0.38697438379648214\n",
"People using at least basic sanitation services, rural (% of rural population) - Mortality Rate Rural: -0.4511689579290148\n",
"People using at least basic sanitation services, urban (% of urban population) - Incidence of malaria (per 1,000 population at risk): -0.3674777594084983\n",
"People using at least basic sanitation services, urban (% of urban population) - Mortality Rate: -0.4489491715993158\n",
"People using at least basic sanitation services, urban (% of urban population) - Incidence Rate Urban: -0.36706000297557845\n",
"People using at least basic sanitation services, urban (% of urban population) - Mortality Rate Urban: -0.387214103842941\n",
"People using at least basic sanitation services, urban (% of urban population) - Mortality Rate Rural: -0.41481083784802836\n",
"Incidence of malaria (per 1,000 population at risk) - Malaria death: 0.3327905624931082\n",
"Incidence of malaria (per 1,000 population at risk) - Mortality Rate: 0.8299414419117493\n",
"Incidence of malaria (per 1,000 population at risk) - Incidence Rate Urban: 0.7893773121318497\n",
"Incidence of malaria (per 1,000 population at risk) - Incidence Rate Rural: 0.7461894806101139\n",
"Incidence of malaria (per 1,000 population at risk) - Mortality Rate Urban: 0.6972510846612515\n",
"Incidence of malaria (per 1,000 population at risk) - Mortality Rate Rural: 0.840401873245224\n",
"Malaria cases reported - Incidence Rate Urban: 0.33205681051086994\n",
"Malaria death - Mortality Rate: 0.3852675271671464\n",
"Malaria death - Mortality Rate Rural: 0.3910881019024558\n",
"Mortality Rate - Incidence Rate Urban: 0.7219488567583788\n",
"Mortality Rate - Incidence Rate Rural: 0.45364213002423665\n",
"Mortality Rate - Mortality Rate Urban: 0.8633579068358816\n",
"Mortality Rate - Mortality Rate Rural: 0.9432297017688321\n",
"Incidence Rate Urban - Incidence Rate Rural: 0.3757822698858907\n",
"Incidence Rate Urban - Mortality Rate Urban: 0.8876678174066415\n",
"Incidence Rate Urban - Mortality Rate Rural: 0.5826519291874825\n",
"Incidence Rate Rural - Mortality Rate Rural: 0.6436888901588494\n",
"Mortality Rate Urban - Mortality Rate Rural: 0.7035485609334111\n"
]
}
],
"source": [
"#Correlated features with their pearson correlation coefficient among the preventive measures\n",
"correlation_threshold = 0.3\n",
"#Finding highly correlated features\n",
"highly_correlated_features = []\n",
"for i in range(len(correlation_matrix.columns)):\n",
" for j in range(i+1, len(correlation_matrix.columns)):\n",
" if abs(correlation_matrix.iloc[i,j]) >= correlation_threshold:\n",
" feature_i = correlation_matrix.columns[i]\n",
" feature_j = correlation_matrix.columns[j]\n",
" highly_correlated_features.append((feature_i, feature_j, correlation_matrix.iloc[i,j]))\n",
"#print\n",
"for feature_i, feature_j, correlation in highly_correlated_features:\n",
" print(f\"{feature_i} - {feature_j}: {correlation}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zvFj3fxPVbiQ"
},
"source": [
"In my opinion, this gives a better insight into the effect of preventive measures\n",
"Let us review what we have,\n",
"\n",
"**Positive Correlations**:\n",
"* **People using at least basic drinking water services (% of population) - People using at least basic drinking water services, rural (% of rural population): **0.865**\n",
"This strong positive correlation indicates that regions with higher overall access to basic drinking water services also tend to have a higher percentage of rural population with access to such services. In other words, when the entire population has better access to clean drinking water, rural areas within those regions also tend to benefit. A combination of these measures would result in higher effectiveness in reducing the malaria burden\n",
"* **People using at least basic drinking water services (% of population) - People using at least basic drinking water services, urban (% of urban population): 0.750**\n",
"Similarly, there's a strong positive correlation between overall access to basic drinking water services for the entire population and the percentage of urban population with access. This suggests that as the general population's access to clean drinking water improves, urban areas within those regions also experience a rise in access.\n",
"* **People using at least basic drinking water services (% of population) - People using at least basic sanitation services (% of population): 0.752**\n",
"This correlation indicates that regions with higher overall access to basic drinking water services are also more likely to have higher overall access to basic sanitation services. The two are closely related in terms of hygiene and public health, and regions that prioritize clean drinking water often also prioritize sanitation.\n",
"\n",
"**Negative Correlations:**\n",
"\n",
"* **People using at least basic drinking water services (% of population) - Incidence of malaria (per 1,000 population at risk): -0.418**\n",
"This negative correlation suggests that regions with higher access to basic drinking water services tend to experience lower incidences of malaria. Clean drinking water can play a role in reducing waterborne diseases, including those transmitted by mosquitoes that cause malaria.\n",
"* **People using at least basic drinking water services (% of population) - Mortality Rate: -0.548**\n",
"This strong negative correlation indicates that regions with higher access to clean drinking water tend to have lower overall mortality rates.\n",
"\n",
"**My interpretation:**\n",
"* The positive correlations suggest that improvements in access to clean drinking water tend to coincide with improvements in other related areas, such as rural access, urban access, and sanitation.\n",
"* The negative correlations imply that better access to clean drinking water is associated with lower rates of malaria incidence and overall mortality. This underscores the critical role of clean water in public health.\n",
"\n",
"**My reservation**\n",
"Correlations only suggest associations, they dont establish causation.\n",
"However, these correlations highlight the interconnectedness of access to clean drinking water, sanitation, disease incidence, and mortality, shedding light on the positive impacts of improvements in clean water access on public health indicators.\n",
"\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ICflmJceNS9S",
"outputId": "38fcd798-fd63-428c-c478-d0ef0d920726"
},
"outputs": [
{
"metadata": {
"tags": null
},
"name": "stdout",
"output_type": "stream",
"text": [
"Remaining Features: Index(['Use of insecticide-treated bed net in total population',\n",
" 'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n",
" 'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n",
" 'People using at least basic drinking water services (% of population)',\n",
" 'Incidence of malaria (per 1,000 population at risk)',\n",
" 'Malaria cases reported', 'Malaria death'],\n",
" dtype='object')\n"
]
}
],
"source": [
"#Let us know those features that are highly not correlated at a threshold of 0.7\n",
"high_correlation_features = set()\n",
"for i in range(len(correlation_matrix.columns)):\n",
" for j in range(i):\n",
" if abs(correlation_matrix.iloc[i,j]) > 0.7:\n",
" feature_i = correlation_matrix.columns[i]\n",
" feature_j = correlation_matrix.columns[j]\n",
" high_correlation_features.add(feature_i)\n",
"#Remove the features with high collinearity\n",
"data_without_collinear_features = correlation_matrix.drop(high_correlation_features, axis = 1)\n",
"#Printing the remaining features\n",
"remaining_features = data_without_collinear_features.columns\n",
"print(\"Remaining Features:\", remaining_features)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-6gBs4voYKZu"
},
"source": [
"Again, as a confirmation, the above result shows the features that are not too correlated"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "1duzU3BK2GFG"
},
"source": [
"Let us check the total number of people that adhere to the usage of preventive measures"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "fVX_IwbIlvtL",
"outputId": "3c2df71e-f4d7-4c31-cabf-ceda6a0488c8"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Year: 2016-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 12797525.476849128\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 12176120.524188178\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 11738277.83384531\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 10320644.950270312\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 9964371.153823668\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 9845133.812019931\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 9767420.888340645\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 9448673.603755647\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 8816247.373585196\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 8478384.421628077\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 8329448.466242658\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 8301668.67869703\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 7628019.761078042\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 7488680.273995827\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 7191436.004760946\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 7084252.6336458735\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 5623886.291371892\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 5533766.433440078\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 5503354.488961133\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 5448841.735025643\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 4880178.47325239\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 4745397.354074537\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 4745328.174598724\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 4546089.690341827\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 4432831.34024512\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 4364550.308924877\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 4326590.237124472\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 4214018.841263186\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 4197130.008231339\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 4107604.4588623834\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 3957860.0410544276\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 3922451.571761096\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 3854670.4425432337\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 3840122.765250917\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 3811371.4509668075\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 3683640.92822859\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 3464960.4777727327\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 3459120.108972668\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 3424204.8173236167\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 3364933.2630291716\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 2969000.85791466\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 2935679.2008994203\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 2887317.1442571175\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 2855893.6783160055\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 2822562.145278686\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 2812243.6839233413\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 2729275.7472415743\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 2710982.3969528275\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 2463768.8184209294\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 2455484.4558316157\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 2413893.014595363\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 2410284.4401281103\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 2379397.8460971904\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 2340176.928801019\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 2186035.6419831035\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 2088106.2199638064\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 2039581.554979641\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 2001387.426362504\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 1936064.6739251434\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 1935143.1448143406\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 1841101.7771372527\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 1812164.0038933067\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 1810700.3827554688\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 1804970.4429362016\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 1784678.779566479\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 1772660.1353492364\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 1765670.2071596598\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 1764436.3180272104\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 1755656.3083410126\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 1747472.4673645499\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 1741253.068856345\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 1734615.939120632\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 1724937.3348506417\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 1693164.24973197\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 1683450.649451803\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 1672579.8462014217\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 1671570.3857339877\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 1618507.9094674229\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 1617472.511335245\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 1609519.07097135\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 1595297.4296738037\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 1594187.3381580666\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 1587261.3054286384\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 1585412.5705801377\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 1565326.065973737\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 1556983.5105433536\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 1547185.6527534504\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 1536045.7649841853\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 1534434.9406926578\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 1530188.1721982015\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 1523166.550722773\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 1517891.35484213\n",
"Year: 2017-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 1514559.7837010764\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 1488307.1612605553\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 1457572.7686161373\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 1437048.501663215\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Angola, Total Usage Count: 1429302.7097400292\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 1426778.889597119\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 1415297.838784335\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 1397770.315523039\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 1369622.3202979008\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 1364401.7852168304\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 1333062.5985572496\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 1258991.7362509682\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 1238838.0198986584\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 1210609.280450343\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 1207398.2110715113\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 1168857.414243517\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 1158482.9836280865\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 1151849.4780881447\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 1145448.5294236564\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 1127295.0033772367\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 1126650.762641976\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 1126215.862319412\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 1123691.5220631773\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 1118687.9045019117\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 1099165.357415266\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 1082590.4004901305\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 1068981.2755124609\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 1055080.443806355\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 1053983.7179510114\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 1037565.2983468059\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 1028066.6481113544\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 1024582.3423288341\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 1015630.2584853921\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 1006784.0069120845\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 987648.9794257574\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 987298.2730244619\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 975379.9923215193\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 958558.8431630527\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 957881.1516980622\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 952629.5230078708\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 951431.9725429378\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 937626.1190600249\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 932270.7098029682\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 929003.9131573669\n",
"Year: 2010-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 926144.0338780627\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 925701.8067174857\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 922947.7006116923\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 919069.1654662704\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 918676.8478893127\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 902453.3042570349\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Burundi, Total Usage Count: 898736.8186438505\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 897616.1134901992\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 872676.5895564572\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 855856.3270587937\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 849565.0324076428\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 843712.6134281743\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 824501.936220487\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 815474.8782063428\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 792193.0411528164\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 752163.7354411919\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 740213.0156005406\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 739190.8448699741\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 731825.2838173006\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 724418.4838552251\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 722958.5221439574\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 712756.0566645052\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 702308.9198527337\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 700821.985217777\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 696863.1033052236\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 695553.9358246417\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 691544.4012666158\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 683019.4409984432\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 668697.2951465399\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 623935.7204999477\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 622523.174829114\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 605116.2575975951\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 602326.7642477442\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 592337.8417542673\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 590355.9245238195\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 581536.6827024716\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 580702.0392591571\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 576652.5367765825\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 561212.0549917329\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 559886.1972858852\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 538840.5606561622\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 537421.3142171397\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 536991.5482285838\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 528492.3987858815\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 527272.5103034412\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Ghana, Total Usage Count: 526268.2176133156\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Sudan, Total Usage Count: 518296.27407056506\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Nigeria, Total Usage Count: 513878.3036717882\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Liberia, Total Usage Count: 509418.88057031756\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 509110.32771414163\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 497645.98929546226\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 495011.0706894482\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 482284.2128826909\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 479291.9854692559\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 447309.80869388033\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 433599.6485269631\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 418966.05025332264\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 417516.62454001163\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 412810.5016712668\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 406978.09318293957\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 404889.7955366653\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 400945.91289365897\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 395976.9236176899\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 389338.7342246597\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 385516.1885637557\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 382797.6634654529\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 371991.4990191824\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 366191.28153479943\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 354666.88117179397\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 346410.59897760925\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 335422.96684071695\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Niger, Total Usage Count: 334301.0508576875\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 329727.4964696681\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 329203.88712933584\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 323846.5752026831\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 320264.33379535103\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Uganda, Total Usage Count: 312128.1867561574\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 300518.5221676478\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 296041.0203362472\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 290026.9850105029\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Rwanda, Total Usage Count: 285771.8371836019\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 285576.605201103\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 285376.83161658916\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 285103.65920842264\n",
"Year: 2013-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 284445.2977985086\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Togo, Total Usage Count: 284275.5636916979\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 279132.333586071\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 273902.2359727606\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Tunisia, Total Usage Count: 269039.5764764271\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 262610.7697616495\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 258230.26050551588\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 256501.2887293755\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 247278.71165991126\n",
"Year: 2012-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 247078.4030322242\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 240731.72963708334\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 232920.41727744765\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 229638.02692103025\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 223973.67865204386\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 221389.41806608724\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 220358.8870641266\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 211422.80181348833\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 206483.26696375923\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 190148.42518371373\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 181964.04175779384\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Mozambique, Total Usage Count: 180362.834962744\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 170961.86998420348\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 158381.36778504515\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 157127.50053939509\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 151989.73007376544\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 147169.01790955872\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Burkina Faso, Total Usage Count: 146939.14384676638\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 145046.54296026577\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 135225.52411236856\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Senegal, Total Usage Count: 134673.25254903318\n",
"Year: 2011-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 134015.96107121464\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 125456.44188860166\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Seychelles, Total Usage Count: 123838.92065498735\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 115321.95899809312\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 112557.17585644907\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 109597.67879736677\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 100808.61373828199\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 99543.3486614256\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 98968.60902183864\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 98748.03286102372\n",
"Year: 2014-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 94356.12994998207\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 85180.37811685394\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 84380.90604836831\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 81150.39191440186\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 80449.64963240348\n",
"Year: 2008-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 79913.18903668817\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 78681.92833009383\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 76143.10535889756\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 72876.03532905651\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Guinea, Total Usage Count: 68576.28757920557\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 63311.766040591676\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 62187.15915619278\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 60933.63000672015\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 59037.73322109696\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 56959.90267215862\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 56926.11226683321\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 55201.534277165294\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Madagascar, Total Usage Count: 53759.25601330231\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 50489.24065509905\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 50327.68460048804\n",
"Year: 2015-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 48502.76397918627\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 46589.043040815945\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 46177.65211948928\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 46046.72460007793\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 45282.09338823091\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 44929.41123887217\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 44656.726609210964\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 44433.22682741658\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Cameroon, Total Usage Count: 44101.19174048923\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 43189.45987172583\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Zimbabwe, Total Usage Count: 42818.63376988684\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 41920.63127277526\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 40213.77213992632\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 40087.28204803882\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Sierra Leone, Total Usage Count: 39661.3097951592\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Chad, Total Usage Count: 39139.17368863634\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 37750.255554153424\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 37017.700216705474\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 35421.06831725653\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 33509.65166954421\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 33204.163605427486\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Kenya, Total Usage Count: 33133.195479506394\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Benin, Total Usage Count: 33116.85477176532\n",
"Year: 2016-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 33060.659084584986\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 32215.09858006205\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 32089.237913509543\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 32084.751503835476\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 31490.90807375165\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 31293.3938418296\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 31145.716581403005\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 30806.124782190574\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 29981.004948338486\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 29218.166899912758\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 28896.507611998346\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Central African Republic, Total Usage Count: 28667.725974270343\n",
"Year: 2007-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 28499.715618031816\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 28464.99452748336\n",
"Year: 2017-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 28384.08370284064\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 27288.77085307403\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 27282.97388601385\n",
"Year: 2009-01-01T00:00:00.000000000, Country: South Sudan, Total Usage Count: 26879.971364176094\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 26743.802703012\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 26140.10580008596\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 25537.097950949577\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 25170.778817864328\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 25091.7627067447\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 25074.424755250446\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 24882.458717460988\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 24834.108631058425\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Zambia, Total Usage Count: 24812.931235548393\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 23592.671411479903\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 20347.499917241206\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 19778.119847348877\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 19697.834567856647\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 19311.037686926476\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 18895.354521791367\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 18642.75166011731\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 17938.268124753147\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 17751.612688721085\n",
"Year: 2014-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 17037.553202284922\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Guinea-Bissau, Total Usage Count: 17019.45481931696\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Equatorial Guinea, Total Usage Count: 16429.940646629548\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 15979.458128773998\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 15911.34230789273\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 14801.249402257678\n",
"Year: 2011-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 14704.07902854211\n",
"Year: 2013-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 13720.044016694563\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 13324.581381353733\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 13299.853414892736\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 13239.991752605429\n",
"Year: 2010-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 12937.299689408266\n",
"Year: 2008-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 12465.654446836417\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 12371.992582634159\n",
"Year: 2012-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 11548.955384858125\n",
"Year: 2007-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 10931.488750775514\n",
"Year: 2009-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 10786.92161952648\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 9848.040104193777\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 9845.274541678953\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Somalia, Total Usage Count: 9376.231674112849\n",
"Year: 2016-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 9305.78581023618\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 8510.826298121177\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 8006.296267812809\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 6977.476606100046\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 6698.279350744453\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Gabon, Total Usage Count: 6558.857577471634\n",
"Year: 2015-01-01T00:00:00.000000000, Country: South Africa, Total Usage Count: 6317.33067181029\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 6204.1036511683205\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 6170.523134069433\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 6044.4050951105355\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 6043.5372016024885\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 5940.5158178913\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 5788.491627148401\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 5738.857285560676\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 5734.948386212101\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 5716.077076321558\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 5706.946986864211\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 5621.876793355589\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 5426.0539927971795\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Sao Tome and Principe, Total Usage Count: 5392.628085956296\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 5378.803080394807\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 5361.281005290559\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5303.738649164043\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5289.390000000002\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5288.490000000002\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5287.590000000002\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5274.750000000001\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 5273.527263237198\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5269.8099999999995\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 5253.797383364047\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5235.93\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5225.391778614635\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5207.550000000003\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5205.682837645224\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Algeria, Total Usage Count: 5196.7000000000035\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 5100.322096977286\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 5081.109999999998\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 5078.909999999999\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 5003.909999999999\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 4963.603169561241\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 4957.408496740644\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4929.410000000003\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4855.0099999999975\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4815.659005917934\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 4794.2728037364395\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4763.489999999998\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 4727.856873449958\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4672.5599999999995\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4656.39195405284\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 4618.282341688014\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4582.199999999998\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4580.9431305269145\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4492.329999999998\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Djibouti, Total Usage Count: 4476.8847150257725\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Botswana, Total Usage Count: 4469.051646103116\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4403.139999999999\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4369.186008636863\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4322.4514801306195\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Morocco, Total Usage Count: 4314.229999999999\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4264.163680676914\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 4066.2462643104946\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 4058.504252705006\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 4033.9473696638697\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 3999.096831087558\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 3882.132316029794\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Lesotho, Total Usage Count: 3869.406880186629\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 3799.3264208568644\n",
"Year: 2017-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3771.7099999999996\n",
"Year: 2016-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3762.930000000002\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Namibia, Total Usage Count: 3752.1017061215116\n",
"Year: 2015-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3743.6400000000003\n",
"Year: 2014-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3723.7599999999993\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 3718.0200349152833\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Eswatini, Total Usage Count: 3713.540968632503\n",
"Year: 2013-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3703.6799999999994\n",
"Year: 2012-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3683.49\n",
"Year: 2011-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3662.9099999999994\n",
"Year: 2010-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3642.2200000000016\n",
"Year: 2009-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3621.2299999999996\n",
"Year: 2008-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3599.949999999998\n",
"Year: 2007-01-01T00:00:00.000000000, Country: Libya, Total Usage Count: 3578.459999999999\n"
]
}
],
"source": [
"\n",
"# Correlated features with their pearson correlation coefficient among the preventive measures\n",
"correlation_threshold = 0.3\n",
"# Finding highly correlated features\n",
"highly_correlated_features = []\n",
"for i in range(len(correlation_matrix.columns)):\n",
" for j in range(i+1, len(correlation_matrix.columns)):\n",
" if abs(correlation_matrix.iloc[i, j]) >= correlation_threshold:\n",
" feature_i = correlation_matrix.columns[i]\n",
" feature_j = correlation_matrix.columns[j]\n",
" highly_correlated_features.append((feature_i, feature_j, correlation_matrix.iloc[i, j]))\n",
"\n",
"# Create a dictionary to store the usage count for each country and year\n",
"country_year_usage_count = {}\n",
"\n",
"# Iterate through each highly correlated feature\n",
"for feature_i, feature_j, _ in highly_correlated_features:\n",
" for year in sorted_merged_gdf['Year'].unique():\n",
" for idx, row in sorted_merged_gdf[sorted_merged_gdf['Year'] == year].iterrows():\n",
" country_name = row['Country Name_right']\n",
" usage_count = row[feature_i] + row[feature_j] # Sum the usage values of the two features\n",
"\n",
" if (country_name, year) in country_year_usage_count:\n",
" country_year_usage_count[(country_name, year)] += usage_count\n",
" else:\n",
" country_year_usage_count[(country_name, year)] = usage_count\n",
"\n",
"# Sort the countries by usage count in descending order\n",
"sorted_countries = sorted(country_year_usage_count.items(), key=lambda x: x[1], reverse=True)\n",
"\n",
"# Print the countries and their usage count\n",
"for (country, year), usage_count in sorted_countries:\n",
" print(f\"Year: {year}, Country: {country}, Total Usage Count: {usage_count}\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9bAtvwns2lcn"
},
"source": [
"Nigeria has the highest number of the total usage count of preventive measures in both 2016 and 2017"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QES5WRR925Cn"
},
"source": [
"# Counterfactural scenarios of preventive measures\n",
"\n",
"This part of the analysis deals with modelling without the preventive measures to see what would have been the impact on the malaria metrics considered (incidence rate and mortality rate)"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "bYcepcCD9Xsk",
"outputId": "c128b3a1-e009-4dee-facd-1eb83f1f0d9e"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
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"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n",
"/usr/local/lib/python3.10/dist-packages/sklearn/base.py:439: UserWarning:\n",
"\n",
"X does not have valid feature names, but MinMaxScaler was fitted with feature names\n",
"\n"
]
}
],
"source": [
"\n",
"from sklearn.ensemble import RandomForestRegressor\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import MinMaxScaler\n",
"\n",
"data = sorted_merged_gdf\n",
"\n",
"# Define the preventive features and target metrics\n",
"preventive_features = preventive_columns\n",
"target_metrics = [\"Incidence of malaria (per 1,000 population at risk)\", \"Mortality Rate\"]\n",
"\n",
"# Split the data into features and target metrics\n",
"X = data[preventive_features]\n",
"y = data[target_metrics]\n",
"\n",
"# Normalize the features\n",
"scaler = MinMaxScaler()\n",
"X_normalized = scaler.fit_transform(X)\n",
"\n",
"# Split the data into training and testing sets\n",
"X_train, X_test, y_train, y_test = train_test_split(X_normalized, y, test_size=0.2, random_state=42)\n",
"\n",
"# Create a RandomForestRegressor model\n",
"model = RandomForestRegressor(n_estimators=100, random_state=42)\n",
"\n",
"# Fit the model on training data\n",
"model.fit(X_train, y_train)\n",
"\n",
"# Create a DataFrame for counterfactual scenarios\n",
"counterfactual_data = data.copy()\n",
"\n",
"# Iterate through each country and year\n",
"for idx, row in data.iterrows():\n",
" country_features = np.array(row[preventive_features]).reshape(1, -1) # Features for a single country\n",
" country_features_normalized = scaler.transform(country_features)\n",
"\n",
" # Predict the metrics without preventive measures for the current country\n",
" counterfactual_predictions = model.predict(country_features_normalized)\n",
"\n",
" # Add counterfactual predictions to the counterfactual DataFrame for the current country and year\n",
" for i, target_metric in enumerate(target_metrics):\n",
" counterfactual_data.at[idx, f\"Counterfactual {target_metric}\"] = counterfactual_predictions[0, i]\n",
"\n",
"# Compare actual metrics with counterfactual scenarios\n",
"for target_metric in target_metrics:\n",
" counterfactual_data[f\"{target_metric} Difference\"] = y[target_metric] - counterfactual_data[f\"Counterfactual {target_metric}\"]\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "-r3fJump36Bp",
"outputId": "fb05ba0e-da94-483c-f228-44fa693cf112"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Country Name_left geometry \\\n",
"0 ALGERIA POLYGON ((-3.55328 31.06993, -3.55351 31.07054... \n",
"1 ANGOLA POLYGON ((11.75945 -17.25426, 11.75837 -17.254... \n",
"2 BENIN POLYGON ((2.84088 12.40599, 2.84306 12.40454, ... \n",
"3 BOTSWANA POLYGON ((25.16312 -17.77816, 25.16383 -17.778... \n",
"4 BURKINA FASO POLYGON ((-0.39571 15.01753, -0.38517 15.00288... \n",
".. ... ... \n",
"435 TOGO POLYGON ((0.50312 9.46885, 0.50333 9.46903, 0.... \n",
"436 TUNISIA POLYGON ((11.52664 33.16864, 11.52686 33.16841... \n",
"437 UGANDA POLYGON ((29.73532 -0.02312, 29.73560 -0.02303... \n",
"438 ZAMBIA POLYGON ((31.11078 -8.63228, 31.11568 -8.63242... \n",
"439 ZIMBABWE POLYGON ((29.84504 -15.61170, 29.84640 -15.611... \n",
"\n",
" index_right Country Name_right Year \\\n",
"0 0 Algeria 2007-01-01 \n",
"1 1 Angola 2007-01-01 \n",
"2 2 Benin 2007-01-01 \n",
"3 3 Botswana 2007-01-01 \n",
"4 4 Burkina Faso 2007-01-01 \n",
".. ... ... ... \n",
"435 457 Togo 2017-01-01 \n",
"436 458 Tunisia 2017-01-01 \n",
"437 459 Uganda 2017-01-01 \n",
"438 460 Zambia 2017-01-01 \n",
"439 461 Zimbabwe 2017-01-01 \n",
"\n",
" Incidence of malaria (per 1,000 population at risk) \\\n",
"0 0.01 \n",
"1 286.72 \n",
"2 480.24 \n",
"3 1.03 \n",
"4 503.80 \n",
".. ... \n",
"435 278.20 \n",
"436 278.20 \n",
"437 336.76 \n",
"438 160.05 \n",
"439 108.55 \n",
"\n",
" Malaria cases reported Malaria death \\\n",
"0 26.0 0 \n",
"1 1533485.0 18237 \n",
"2 0.0 12034 \n",
"3 390.0 3 \n",
"4 44246.0 31272 \n",
".. ... ... \n",
"435 1755577.0 3695 \n",
"436 1755577.0 0 \n",
"437 11667831.0 21315 \n",
"438 5505639.0 7825 \n",
"439 467508.0 3410 \n",
"\n",
" Use of insecticide-treated bed net in total population \\\n",
"0 4.7625 \n",
"1 18.0000 \n",
"2 2.8125 \n",
"3 21.6500 \n",
"4 24.9200 \n",
".. ... \n",
"435 69.7000 \n",
"436 69.7000 \n",
"437 69.7000 \n",
"438 69.7000 \n",
"439 69.7000 \n",
"\n",
" Children with fever receiving antimalarial drugs (% of children under age 5 with fever) \\\n",
"0 4.9125 \n",
"1 29.8000 \n",
"2 18.6750 \n",
"3 73.8625 \n",
"4 67.0625 \n",
".. ... \n",
"435 31.1000 \n",
"436 31.1000 \n",
"437 31.1000 \n",
"438 31.1000 \n",
"439 31.1000 \n",
"\n",
" ... Standardized Incidence Rate Mortality Rate Urban \\\n",
"0 ... 0.000765 0.000000 \n",
"1 ... 73.338507 1.516201 \n",
"2 ... 0.000000 3.348510 \n",
"3 ... 0.198274 0.002633 \n",
"4 ... 2.998291 9.215164 \n",
".. ... ... ... \n",
"435 ... 223.560783 1.143125 \n",
"436 ... 148.633575 0.000000 \n",
"437 ... 290.771956 2.289995 \n",
"438 ... 318.280831 1.052594 \n",
"439 ... 31.693092 0.717093 \n",
"\n",
" Mortality Rate Rural Gi_Star_Incidence Gi_Star_Mortality Gi_Star \\\n",
"0 0.000000 0.002217 1.470825e-03 0.000625 \n",
"1 2.053347 0.001619 1.651218e-03 0.000892 \n",
"2 2.381120 0.004725 5.340534e-03 0.001474 \n",
"3 0.003625 0.000708 6.690325e-04 0.000364 \n",
"4 2.751960 0.004645 4.807973e-03 0.001674 \n",
".. ... ... ... ... \n",
"435 0.799709 0.004906 5.205052e-03 0.001949 \n",
"436 0.000000 0.001379 3.944844e-09 0.000418 \n",
"437 0.691614 0.002575 2.083740e-03 0.001055 \n",
"438 0.793285 0.001738 1.775978e-03 0.000849 \n",
"439 0.341144 0.001570 1.611165e-03 0.000771 \n",
"\n",
" Counterfactual Incidence of malaria (per 1,000 population at risk) \\\n",
"0 0.0015 \n",
"1 237.5502 \n",
"2 436.0615 \n",
"3 3.1405 \n",
"4 488.5245 \n",
".. ... \n",
"435 300.0313 \n",
"436 311.2289 \n",
"437 318.8924 \n",
"438 153.7865 \n",
"439 115.1894 \n",
"\n",
" Counterfactual Mortality Rate \\\n",
"0 0.000003 \n",
"1 0.722962 \n",
"2 1.283310 \n",
"3 0.007555 \n",
"4 1.943421 \n",
".. ... \n",
"435 0.549093 \n",
"436 0.000000 \n",
"437 0.582363 \n",
"438 0.396760 \n",
"439 0.249333 \n",
"\n",
" Incidence of malaria (per 1,000 population at risk) Difference \\\n",
"0 0.0085 \n",
"1 49.1698 \n",
"2 44.1785 \n",
"3 -2.1105 \n",
"4 15.2755 \n",
".. ... \n",
"435 -21.8313 \n",
"436 -33.0289 \n",
"437 17.8676 \n",
"438 6.2635 \n",
"439 -6.6394 \n",
"\n",
" Mortality Rate Difference \n",
"0 -0.000003 \n",
"1 0.149218 \n",
"2 0.108264 \n",
"3 -0.006030 \n",
"4 0.175698 \n",
".. ... \n",
"435 -0.078560 \n",
"436 0.000000 \n",
"437 -0.051175 \n",
"438 0.055603 \n",
"439 -0.018164 \n",
"\n",
"[440 rows x 41 columns]"
],
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Country Name_left
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geometry
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Country Name_right
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Year
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Incidence of malaria (per 1,000 population at risk)
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0
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ALGERIA
\n",
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POLYGON ((-3.55328 31.06993, -3.55351 31.07054...
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0
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Algeria
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2007-01-01
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0.01
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26.0
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0
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0.000625
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0.0015
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0.000003
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0.0085
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-0.000003
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1
\n",
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ANGOLA
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POLYGON ((11.75945 -17.25426, 11.75837 -17.254...
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1
\n",
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Angola
\n",
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2007-01-01
\n",
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286.72
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1533485.0
\n",
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18237
\n",
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18.0000
\n",
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29.8000
\n",
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...
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73.338507
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1.516201
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2.053347
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0.001619
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1.651218e-03
\n",
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0.000892
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237.5502
\n",
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0.722962
\n",
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49.1698
\n",
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0.149218
\n",
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2
\n",
"
BENIN
\n",
"
POLYGON ((2.84088 12.40599, 2.84306 12.40454, ...
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2
\n",
"
Benin
\n",
"
2007-01-01
\n",
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480.24
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0.0
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12034
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2.8125
\n",
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18.6750
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...
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0.000000
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3.348510
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2.381120
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0.004725
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5.340534e-03
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0.001474
\n",
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436.0615
\n",
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1.283310
\n",
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44.1785
\n",
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0.108264
\n",
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\n",
"
\n",
"
3
\n",
"
BOTSWANA
\n",
"
POLYGON ((25.16312 -17.77816, 25.16383 -17.778...
\n",
"
3
\n",
"
Botswana
\n",
"
2007-01-01
\n",
"
1.03
\n",
"
390.0
\n",
"
3
\n",
"
21.6500
\n",
"
73.8625
\n",
"
...
\n",
"
0.198274
\n",
"
0.002633
\n",
"
0.003625
\n",
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0.000708
\n",
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6.690325e-04
\n",
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0.000364
\n",
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3.1405
\n",
"
0.007555
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-2.1105
\n",
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-0.006030
\n",
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\n",
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\n",
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4
\n",
"
BURKINA FASO
\n",
"
POLYGON ((-0.39571 15.01753, -0.38517 15.00288...
\n",
"
4
\n",
"
Burkina Faso
\n",
"
2007-01-01
\n",
"
503.80
\n",
"
44246.0
\n",
"
31272
\n",
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24.9200
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67.0625
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...
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2.998291
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9.215164
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2.751960
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0.004645
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4.807973e-03
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0.001674
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488.5245
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1.943421
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15.2755
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0.175698
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435
\n",
"
TOGO
\n",
"
POLYGON ((0.50312 9.46885, 0.50333 9.46903, 0....
\n",
"
457
\n",
"
Togo
\n",
"
2017-01-01
\n",
"
278.20
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"
1755577.0
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3695
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69.7000
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31.1000
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...
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223.560783
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1.143125
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0.799709
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0.004906
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5.205052e-03
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0.001949
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300.0313
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0.549093
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-21.8313
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-0.078560
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436
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TUNISIA
\n",
"
POLYGON ((11.52664 33.16864, 11.52686 33.16841...
\n",
"
458
\n",
"
Tunisia
\n",
"
2017-01-01
\n",
"
278.20
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"
1755577.0
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0
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"
69.7000
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31.1000
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148.633575
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0.000000
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0.000000
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0.001379
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3.944844e-09
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0.000418
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311.2289
\n",
"
0.000000
\n",
"
-33.0289
\n",
"
0.000000
\n",
"
\n",
"
\n",
"
437
\n",
"
UGANDA
\n",
"
POLYGON ((29.73532 -0.02312, 29.73560 -0.02303...
\n",
"
459
\n",
"
Uganda
\n",
"
2017-01-01
\n",
"
336.76
\n",
"
11667831.0
\n",
"
21315
\n",
"
69.7000
\n",
"
31.1000
\n",
"
...
\n",
"
290.771956
\n",
"
2.289995
\n",
"
0.691614
\n",
"
0.002575
\n",
"
2.083740e-03
\n",
"
0.001055
\n",
"
318.8924
\n",
"
0.582363
\n",
"
17.8676
\n",
"
-0.051175
\n",
"
\n",
"
\n",
"
438
\n",
"
ZAMBIA
\n",
"
POLYGON ((31.11078 -8.63228, 31.11568 -8.63242...
\n",
"
460
\n",
"
Zambia
\n",
"
2017-01-01
\n",
"
160.05
\n",
"
5505639.0
\n",
"
7825
\n",
"
69.7000
\n",
"
31.1000
\n",
"
...
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"
318.280831
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"
1.052594
\n",
"
0.793285
\n",
"
0.001738
\n",
"
1.775978e-03
\n",
"
0.000849
\n",
"
153.7865
\n",
"
0.396760
\n",
"
6.2635
\n",
"
0.055603
\n",
"
\n",
"
\n",
"
439
\n",
"
ZIMBABWE
\n",
"
POLYGON ((29.84504 -15.61170, 29.84640 -15.611...
\n",
"
461
\n",
"
Zimbabwe
\n",
"
2017-01-01
\n",
"
108.55
\n",
"
467508.0
\n",
"
3410
\n",
"
69.7000
\n",
"
31.1000
\n",
"
...
\n",
"
31.693092
\n",
"
0.717093
\n",
"
0.341144
\n",
"
0.001570
\n",
"
1.611165e-03
\n",
"
0.000771
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"
115.1894
\n",
"
0.249333
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-6.6394
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-0.018164
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440 rows × 41 columns
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]
},
"metadata": {},
"execution_count": 98
}
],
"source": [
"counterfactual_data #let us see the head and tail"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WyI_SEyHRY-l"
},
"source": [
"The above DataFrame shows the counterfactual scenarios of malaria cases without the use of any preventive measure. A random forest was used to predict such outcomes for each country.\n",
"\n",
"A positive value (difference between the actual metrics and predicted counterfactual metrics) indicates that the actual metrics are greater than the predicted. When the actual incidence rate is higher than the counterfactual scenario, it means that the preventive measures implemented in that specific country and year were not as effective in reducing the incidence of malaria as expected. In other words, the observed incidence rate in that region is higher than what would have been predicted if no preventive measures were in place.\n",
"\n",
"\n",
"A negative value, however, indicates, that the preventive measures was effective in reducing the malaria incidence rate."
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xJxwH4YI33Wi"
},
"source": []
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "P7pVj0aHU61I",
"outputId": "983f0e5c-22a8-46ed-dde5-72b041fbdad9"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
":8: MatplotlibDeprecationWarning:\n",
"\n",
"The seaborn styles shipped by Matplotlib are deprecated since 3.6, as they no longer correspond to the styles shipped by seaborn. However, they will remain available as 'seaborn-v0_8-